Journal articles on the topic 'Long Range Wide Area Network (LoRaWAN)'
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Drotar, Istvan, Balazs Lukacs, and Miklós Kuczmann. "LoRaWAN Network Performance Test." Acta Technica Jaurinensis 13, no. 4 (August 11, 2020): 268–80. http://dx.doi.org/10.14513/actatechjaur.v13.n4.547.
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There are several types of wireless IoT (Internet of Things) networks based on the connection distance between two communicating devices. For covering wide areas, LPWAN (Low Power Wide Area) networks can provide a good solution. These networks provide big coverage and low power consumption. One of the most popular LPWAN network is LoRaWAN (Long Range Wide Area Network). LoRaWAN networks are ideal for sending infrequent, small messages through long distances. In this article the network’s capacity, coverage and energy consumption have been tested. These are the most important attributes when designing a LoRaWAN network, so it can satisfy the requirements of LPWAN networks.
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Jung, Ji-Young, and Jung-Ryun Lee. "Throughput and Packet Loss Probability Analysis of Long Range Wide Area Network." Applied Sciences 11, no. 17 (August 31, 2021): 8091. http://dx.doi.org/10.3390/app11178091.
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Long Range Wide Area Network (LoRaWAN) is the one of the promising low power wide area network (LPWAN) technologies at present and is expected to grow in the foreseeable future as a tool to provide connectivity among small things. In this paper, we present a simple analytical model to compute the throughput and packet loss probability of Medium Access Control (MAC) for Class-A of LoRaWAN. This analysis results can be used as a reference for deploying the appropriate number of end-devices (EDs) that can be accepted in a gateway (GW) while maximizing network throughput or guaranteeing the packet loss rate of EDs.
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Al Ghamdi, Atheer, Enas Khairullah, and Mohammad Al mojamed. "LoRaWAN Performance Analysis for a Water Monitoring and Leakage Detection System in a Housing Complex." Sensors 22, no. 19 (September 22, 2022): 7188. http://dx.doi.org/10.3390/s22197188.
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The automation of water leakage detection and monitoring systems has recently been made possible by the Internet of Things (IoT). However, the high cost is an obstacle when applying a network over a large area. The Low-Power Wide-Area Network (LPWAN) was created specifically to address long-range IoT applications. The Long-Range Wide-Area Network (LoRaWAN) is one of the most common LPWANs. In this study, a method for monitoring and detecting water leakage in a housing complex was tested using LoRaWAN. Water leakage was detected using a low-pressure system model comprising a water meter, presser sensor, and smart valve within a LoRa node. This study investigates the use of LoRaWAN for water monitoring and leakage detection by implementing a comprehensive case study to identify LoRaWAN’s feasibility, reliability, and scalability for water monitoring and leakage detection in simulated scenarios. The housing complex varied in size and number of nodes. The LoRaWAN was evaluated by the FloRa simulator package through the Objective Modular Network Testbed (OMNeT++) platform. The results indicated that it was an efficient means of water monitoring and leakage detection in housing complexes.
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Banti, Konstantina, Ioanna Karampelia, Thomas Dimakis, Alexandros-Apostolos A. Boulogeorgos, Thomas Kyriakidis, and Malamati Louta. "LoRaWAN Communication Protocols: A Comprehensive Survey under an Energy Efficiency Perspective." Telecom 3, no. 2 (May 25, 2022): 322–57. http://dx.doi.org/10.3390/telecom3020018.
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Long range wide area networks (LoRaWANs) have recently received intense scientific, research, and industrial interest. LoRaWANs play a pivotal role in Internet of Things (IoT) applications due to their capability to offer large coverage without sacrificing the energy efficiency and, thus the battery life, of end-devices. Most published contributions assume that LoRaWAN gateways (GWs) are plugged into the energy grid; thus, neglecting the network lifetime constraint due to power storage limitations. However, there are several verticals, including precision agriculture, forest protection, and others, in which it is difficult or even impossible to connect the GW to the power grid or to perform battery replacement at the end-devices. Consequently, maximizing the networks’ energy efficiency is expected to have a crucial impact on maximizing the network lifetime. Motivated by this, as well as the observation that the overall LoRaWAN network energy efficiency is significantly affected by the selected communication protocol, in this paper, we identify and discuss critical aspects and research challenges involved in the design of a LoRaWAN communication protocol, under an energy efficiency perspective. Building upon our findings, research directions towards a novel GreenLoRaWAN communication protocol are given, focusing on achieving energy efficiency, robustness, and scalability.
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Almuhaya, Mukarram A. M., Waheb A. Jabbar, Noorazliza Sulaiman, and Suliman Abdulmalek. "A Survey on LoRaWAN Technology: Recent Trends, Opportunities, Simulation Tools and Future Directions." Electronics 11, no. 1 (January 5, 2022): 164. http://dx.doi.org/10.3390/electronics11010164.
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Low-power wide-area network (LPWAN) technologies play a pivotal role in IoT applications, owing to their capability to meet the key IoT requirements (e.g., long range, low cost, small data volumes, massive device number, and low energy consumption). Between all obtainable LPWAN technologies, long-range wide-area network (LoRaWAN) technology has attracted much interest from both industry and academia due to networking autonomous architecture and an open standard specification. This paper presents a comparative review of five selected driving LPWAN technologies, including NB-IoT, SigFox, Telensa, Ingenu (RPMA), and LoRa/LoRaWAN. The comparison shows that LoRa/LoRaWAN and SigFox surpass other technologies in terms of device lifetime, network capacity, adaptive data rate, and cost. In contrast, NB-IoT technology excels in latency and quality of service. Furthermore, we present a technical overview of LoRa/LoRaWAN technology by considering its main features, opportunities, and open issues. We also compare the most important simulation tools for investigating and analyzing LoRa/LoRaWAN network performance that has been developed recently. Then, we introduce a comparative evaluation of LoRa simulators to highlight their features. Furthermore, we classify the recent efforts to improve LoRa/LoRaWAN performance in terms of energy consumption, pure data extraction rate, network scalability, network coverage, quality of service, and security. Finally, although we focus more on LoRa/LoRaWAN issues and solutions, we introduce guidance and directions for future research on LPWAN technologies.
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Cotrim, Jeferson Rodrigues, and João Henrique Kleinschmidt. "LoRaWAN Mesh Networks: A Review and Classification of Multihop Communication." Sensors 20, no. 15 (July 31, 2020): 4273. http://dx.doi.org/10.3390/s20154273.
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The growth of the Internet of Things (IoT) led to the deployment of many applications that use wireless networks, like smart cities and smart agriculture. Low Power Wide Area Networks (LPWANs) meet many requirements of IoT, such as energy efficiency, low cost, large coverage area, and large-scale deployment. Long Range Wide Area Network (LoRaWAN) networks are one of the most studied and implemented LPWAN technologies, due to the facility to build private networks with an open standard. Typical LoRaWAN networks are single-hop in a star topology, composed of end-devices that transmit data directly to gateways. Recently, several studies proposed multihop LoRaWAN networks, thus forming wireless mesh networks. This article provides a review of the state-of-the-art multihop proposals for LoRaWAN. In addition, we carried out a comparative analysis and classification, considering technical characteristics, intermediate devices function, and network topologies. This paper also discusses open issues and future directions to realize the full potential of multihop networking. We hope to encourage other researchers to work on improving the performance of LoRaWAN mesh networks, with more theoretical and simulation analysis, as well as practical deployments.
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Peruzzi, Giacomo, and Alessandro Pozzebon. "Combining LoRaWAN and NB-IoT for Edge-to-Cloud Low Power Connectivity Leveraging on Fog Computing." Applied Sciences 12, no. 3 (January 30, 2022): 1497. http://dx.doi.org/10.3390/app12031497.
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Low Power Wide Area Networks (LPWANs) play crucial roles in the implementation of low-power and low-cost wide area distributed systems. Currently, two enabling technologies are the main competitors within the connectivity field for the Internet of Things (IoT), primarily because of their scalability, wide range and low power features: Long Range Wide Area Network (LoRaWAN) and Narrowband IoT (NB-IoT). In this paper, a brand new network architecture is presented, which combines both aforementioned technologies. Such a network accounts for sensor nodes, multi-protocol gateways, an a cloud infrastructure. Sensor nodes may be alternatively provided with LoRaWAN or NB-IoT. Multi-protocol gateways can receive and demodulate LoRaWAN packets and upload them to the cloud via the Message Queue Telemetry Transport (MQTT) protocol over NB-IoT. The cloud is transparent with respect to the transmission technology, meaning that data are acquired and stored regardless of the exploited technique (i.e., LoRaWAN or NB-IoT). Indeed, sensor nodes using NB-IoT can send data to the cloud and can directly communicate with other NB-IoT nodes setting up a fog computing paradigm on peer-to-peer subnetworks. This approach may be crucial for the development of complex IoT infrastructures while providing high flexibility.
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Anwar, Khola, Taj Rahman, Asim Zeb, Yousaf Saeed, Muhammad Adnan Khan, Inayat Khan, Shafiq Ahmad, Abdelaty Edrees Abdelgawad, and Mali Abdollahian. "Improving the Convergence Period of Adaptive Data Rate in a Long Range Wide Area Network for the Internet of Things Devices." Energies 14, no. 18 (September 7, 2021): 5614. http://dx.doi.org/10.3390/en14185614.
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A Long-Range Wide Area Network (LoRaWAN) is one of the most efficient technologies and is widely adopted for the Internet of Things (IoT) applications. The IoT consists of massive End Devices (EDs) deployed over large geographical areas, forming a large environment. LoRaWAN uses an Adaptive Data Rate (ADR), targeting static EDs. However, the ADR is affected when the channel conditions between ED and Gateway (GW) are unstable due to shadowing, fading, and mobility. Such a condition causes massive packet loss, which increases the convergence time of the ADR. Therefore, we address the convergence time issue and propose a novel ADR at the network side to lower packet losses. The proposed ADR is evaluated through extensive simulation. The results show an enhanced convergence time compared to the state-of-the-art ADR method by reducing the packet losses and retransmission under dynamic mobile LoRaWAN network.
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Gavalas, Damianos, Modestos Stavrakis, Periklis Chatzimisios, Zhichao Cao, and Xiaolong Zheng. "Wireless Systems and Networks in the IoT." Sensors 20, no. 8 (April 17, 2020): 2279. http://dx.doi.org/10.3390/s20082279.
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This Special Issue is focused on breakthrough developments in the field of Wireless Systems and Networks in the IoT. The selected contributions report current scientific progress in a wide range of topics covering clock error compensation in sensor networks, backscatter communication networks, Radio-Frequency Identification (RFID)-based inventory management, resource allocation in Long-Term Evolution (LTE)/LTE-A, (Long Range Wide-Area Network (LoRaWAN) modeling and key generation for the IoT.
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Kufakunesu, Rachel, Gerhard P. Hancke, and Adnan M. Abu-Mahfouz. "A Survey on Adaptive Data Rate Optimization in LoRaWAN: Recent Solutions and Major Challenges." Sensors 20, no. 18 (September 5, 2020): 5044. http://dx.doi.org/10.3390/s20185044.
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Long-Range Wide Area Network (LoRaWAN) is a fast-growing communication system for Low Power Wide Area Networks (LPWAN) in the Internet of Things (IoTs) deployments. LoRaWAN is built to optimize LPWANs for battery lifetime, capacity, range, and cost. LoRaWAN employs an Adaptive Data Rate (ADR) scheme that dynamically optimizes data rate, airtime, and energy consumption. The major challenge in LoRaWAN is that the LoRa specification does not state how the network server must command end nodes pertaining rate adaptation. As a result, numerous ADR schemes have been proposed to cater for the many applications of IoT technology, the quality of service requirements, different metrics, and radio frequency (RF) conditions. This offers a challenge for the reliability and suitability of these schemes. This paper presents a comprehensive review of the research on ADR algorithms for LoRaWAN technology. First, we provide an overview of LoRaWAN network performance that has been explored and documented in the literature and then focus on recent solutions for ADR as an optimization approach to improve throughput, energy efficiency and scalability. We then distinguish the approaches used, highlight their strengths and drawbacks, and provide a comparison of these approaches. Finally, we identify some research gaps and future directions.
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Lin, Jun, Zhiqi Shen, Chunyan Miao, and Siyuan Liu. "Using blockchain to build trusted LoRaWAN sharing server." International Journal of Crowd Science 1, no. 3 (September 4, 2017): 270–80. http://dx.doi.org/10.1108/ijcs-08-2017-0010.
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Purpose With the rapid growth of the Internet of Things (IoT) market and requirement, low power wide area (LPWA) technologies have become popular. In various LPWA technologies, Narrow Band IoT (NB-IoT) and long range (LoRa) are two main leading competitive technologies. Compared with NB-IoT networks, which are mainly built and managed by mobile network operators, LoRa wide area networks (LoRaWAN) are mainly operated by private companies or organizations, which suggests two issues: trust of the private network operators and lack of network coverage. This study aims to propose a conceptual architecture design of a blockchain built-in solution for LoRaWAN network servers to solve these two issues for LoRaWAN IoT solution. Design/methodology/approach The study proposed modeling, model analysis and architecture design. Findings The proposed solution uses the blockchain technology to build an open, trusted, decentralized and tamper-proof system, which provides the indisputable mechanism to verify that the data of a transaction has existed at a specific time in the network. Originality/value To the best of our knowledge, this is the first work that integrates blockchain technology and LoRaWAN IoT technology.
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J. Barriga A., Jhonattan, and Sang Guun Yoo. "Internet of Things: A Security Survey Review on Long Range Wide Area Network (LoRaWAN)." Journal of Engineering and Applied Sciences 14, no. 24 (September 30, 2019): 9774–87. http://dx.doi.org/10.36478/jeasci.2019.9774.9787.
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Kim, Jaehyu, and JooSeok Song. "A Dual Key-Based Activation Scheme for Secure LoRaWAN." Wireless Communications and Mobile Computing 2017 (2017): 1–12. http://dx.doi.org/10.1155/2017/6590713.
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With the advent of the Internet of Things (IoT) era, we are experiencing rapid technological progress. Billions of devices are connected to each other, and our homes, cities, hospitals, and schools are getting smarter and smarter. However, to realize the IoT, several challenging issues such as connecting resource-constrained devices to the Internet must be resolved. Recently introduced Low Power Wide Area Network (LPWAN) technologies have been devised to resolve this issue. Among many LPWAN candidates, the Long Range (LoRa) is one of the most promising technologies. The Long Range Wide Area Network (LoRaWAN) is a communication protocol for LoRa that provides basic security mechanisms. However, some security loopholes exist in LoRaWAN’s key update and session key generation. In this paper, we propose a dual key-based activation scheme for LoRaWAN. It resolves the problem of key updates not being fully supported. In addition, our scheme facilitates each layer in generating its own session key directly, which ensures the independence of all layers. Real-world experimental results compared with the original scheme show that the proposed scheme is totally feasible in terms of delay and battery consumption.
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Al mojamed, Mohammad. "On the Use of LoRaWAN for Mobile Internet of Things: The Impact of Mobility." Applied System Innovation 5, no. 1 (December 24, 2021): 5. http://dx.doi.org/10.3390/asi5010005.
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A long-range wide-area network (LoRaWAN) targets both mobile and static Internet of Things (IoT) applications; it is suited to IoT applications, which require a large coverage area while consuming less power at a low data rate; it provides a solution for transferring data between IoT devices with a minimum cost in terms of power, at the expense of higher latency. LoRaWAN was designed for static low-power long-range networks. However, several IoT solution applications involve the use of mobility. Therefore, this study investigates the usage of LoRaWAN in the field of mobile Internet of Things applications such as bike rentals, fleet monitoring, and wildlife and animal tracking applications. Using the OMNeT++ simulator, two different well-known mobility models are used to investigate the influence of mobility on the performance of mobile LoRaWAN. The results show that intense LoRaWAN networks can operate under a high velocity and varying traffic load. It can be observed that the random waypoint model combination yields a better performance, but at the cost of higher collisions and energy consumption. As a consequence, the results suggest the reconsideration of mobile IoT solutions over LoRaWAN.
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Zaraket, Carine, Panagiotis Papageorgas, Michel Aillerie, and Kyriakos Agavanakis. "LoRaWAN IoT Technology for Energy Smart Metering Case Study Lebanon." Key Engineering Materials 886 (May 2021): 30–41. http://dx.doi.org/10.4028/www.scientific.net/kem.886.30.
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Internet of things (IoT) technology is based on connecting each real object to the internet. Every single object is uniquely recognized and reachable over the network. IoT last mile connectivity is based on different communication technologies and protocols, where the majority is categorized as short-range networks that operate in ISM band like Zigbee, Wifi and Bluetooth. Short-range technologies were successfully tested and deployed in different industrial sectors. However, in the energy sectors its deployment is challenging in certain hard to reach areas where a reliable last mile connectivity is required between the home area network (HAN) smart meters and the meter data management system (MDMS). Therefore recently, Low Power Wide Area Network (LPWAN) technology, which offers a long range connectivity, has emerged as a promising technology for IoT. Within LPWAN, variety of platforms exist and operate in licensed and unlicensed spectrum respectively like NB-IoT, and LoRaWAN, Sigfox. In this paper we discuss both the performance of LoRaWAN in a real-world environment and its deployment as a low cost, long range and reliable last mile solution for energy smart metering in urban area scenario where short range solution may not work the best. Furthermore, a prototype that is adapted to the existing Lebanese traditional energy sector was developed to test LoRaWAN usefulness in Lebanon.
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Almarzoqi, Samar Adel, Ahmed Yahya, Zaki Matar, and Ibrahim Gomaa. "Re-Learning EXP3 Multi-Armed Bandit Algorithm for Enhancing the Massive IoT-LoRaWAN Network Performance." Sensors 22, no. 4 (February 18, 2022): 1603. http://dx.doi.org/10.3390/s22041603.
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Long-Range Wide Area Network (LoRaWAN) is an open-source protocol for the standard Internet of Things (IoT) Low Power Wide Area Network (LPWAN). This work’s focal point is the LoRa Multi-Armed Bandit decentralized decision-making solution. The contribution of this paper is to study the effect of the re-learning EXP3 Multi-Armed Bandit (MAB) algorithm with previous experts’ advice on the LoRaWAN network performance. LoRa smart node has a self-managed EXP3 algorithm for choosing and updating the transmission parameters based on its observation. The best parameter choice needs previously associated distribution advice (expert) before updating different choices for confidence. The paper proposes a new approach to study the effects of combined expert distribution for each transmission parameter on the LoRaWAN network performance. The successful transmission of the packet with optimized power consumption is the pivot of this paper. The validation of the simulation result has proven that combined expert distribution improves LoRaWAN network’s performance in terms of data throughput and power consumption.
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Sánchez-Sutil, Francisco, and Antonio Cano-Ortega. "Smart Control and Energy Efficiency in Irrigation Systems Using LoRaWAN." Sensors 21, no. 21 (October 24, 2021): 7041. http://dx.doi.org/10.3390/s21217041.
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Irrigation installations in cities or agricultural operations use large amounts of water and electrical energy in their activity. Therefore, optimising these resources is essential nowadays. Wireless networks offer ideal support for such applications. The long-range wide-area network (LoRaWAN) used in this research offers a large coverage of up to 5 km, has low power consumption and does not need additional hardware such as repeaters or signal amplifiers. This research develops a control and monitoring system for irrigation systems. For this purpose, an irrigation algorithm is designed that uses rainfall probability data to regulate the irrigation of the installation. The algorithm is complemented by checking the sending and receiving of information in the LoRa network to reduce the loss of information packets. In addition, two temperature and humidity measurement devices for LoRaWAN (THMDLs) and an electrovalve control device for LoRaWAN (ECDLs) were developed. The hardware and software were also designed, and prototypes were built with the development of the electronic board. The wide coverage of the LoRaWAN allows the covering of small to large irrigation areas.
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Nashiruddin, Muhammad Imam, Maruli Tua Baja Sihotang, and Muhammad Ary Murti. "Comparative study of low power wide area network based on internet of things for smart city deployment in Bandung city." Indonesian Journal of Electrical Engineering and Computer Science 25, no. 1 (January 1, 2022): 425. http://dx.doi.org/10.11591/ijeecs.v25.i1.pp425-439.
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Smart city implementation, such as smart energy and utilities, smart mobility & transportation, smart environment, and smart living in urban areas is expanding rapidly worldwide. However, one of the biggest challenges that need to be solved is the selection of the appropriate internet of things (IoT) connectivity technologies. This research will seek for the best candidate low power wide area network (LPWAN) technologies such as long-range wide area network (LoRaWAN), narrow-band internet of things (NB-IoT), and random phase multiple access (RPMA) for IoT smart city deployment in Bandung city is based on IoT network connectivity between with six technical evaluation criteria: gateway requirements, traffic/data projection, the best signal level area distribution, and overlapping zones. Bass model is carried out to determine the capacity forecast. While in coverage prediction, LoRaWAN and NB-IoT use the Okumura-Hata propagation, and Erceg-Greenstein (SUI) model is used for RPMA. Based on the simulation and performance evaluation results, RPMA outperforms LoRaWAN and NB-IoT. It required the least gateway number to cover Bandung city with the best signal levels and overlapping zones.
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Li, Chenning, Hanqing Guo, Shuai Tong, Zhichao Cao, Mi Zhang, Qiben Yang, Li Xiao, Jiliang Wang, and Yunhao Liu. "NELoRa." GetMobile: Mobile Computing and Communications 26, no. 3 (October 7, 2022): 34–38. http://dx.doi.org/10.1145/3568113.3568123.
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Low-Power Wide-Area Networks (LPWANs) has emerged as a promising mechanism to connect billions of low-cost Internet of Things (IoT) devices for wide-area data collection. Long Range (LoRa) [1] is a commercialized and widely deployed wireless technology that facilitates the establishment of LPWANs. As illustrated in Figure 1, a LoRaWAN consists of end nodes, gateways, a network server, and an application server. The collected sensory data (e.g., temperature, humidity) transmitted from the distributed end nodes are relayed by several gateways to the network server.
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Parri, Lorenzo, Stefano Parrino, Giacomo Peruzzi, and Alessandro Pozzebon. "Low Power Wide Area Networks (LPWAN) at Sea: Performance Analysis of Offshore Data Transmission by Means of LoRaWAN Connectivity for Marine Monitoring Applications." Sensors 19, no. 14 (July 23, 2019): 3239. http://dx.doi.org/10.3390/s19143239.
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In this paper the authors discuss the realization of a Long Range Wide Area Network (LoRaWAN) network infrastructure to be employed for monitoring activities within the marine environment. In particular, transmission ranges as well as the assessment of parameters like Signal to Noise Ratio (SNR) and Received Signal Strength Indicator (RSSI) are analyzed in the specific context of an aquaculture industrial plant, setting up a transmission channel from an offshore monitoring structure provided with a LoRaWAN transmitter, to an ashore receiving device composed of two LoRaWAN Gateways. A theoretical analysis about the feasibility of the transmission is provided. The performances of the system are then measured with different network parameters (in particular the Spreading Factor—SF) as well as with two different heights for the transmitting antenna. Test results prove that efficient data transmission can be achieved at a distance of 8.33 km even using worst case network settings: this suggests the effectiveness of the system even in harsher environmental conditions, thus entailing a lower quality of the transmission channel, or for larger transmission ranges.
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Harinda, Eugen, Andrew J. Wixted, Ayyaz-UI-Haq Qureshi, Hadi Larijani, and Ryan M. Gibson. "Performance of a Live Multi-Gateway LoRaWAN and Interference Measurement across Indoor and Outdoor Localities." Computers 11, no. 2 (February 11, 2022): 25. http://dx.doi.org/10.3390/computers11020025.
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Little work has been reported on the magnitude and impact of interference with the performance of Internet of Things (IoT) applications operated by Long-Range Wide-Area Network (LoRaWAN) in the unlicensed 868 MHz Industrial, Scientific, and Medical (ISM) band. The propagation performance and signal activity measurement of such technologies can give many insights to effectively build long-range wireless communications in a Non-Line of Sight (NLOS) environment. In this paper, the performance of a live multi-gateway in indoor office site in Glasgow city was analysed in 26 days of traffic measurement. The indoor network performances were compared to similar performance measurements from outdoor LoRaWAN test traffic generated across Glasgow Central Business District (CBD) and elsewhere on the same LoRaWAN. The results revealed 99.95% packet transfer success on the first attempt in the indoor site compared to 95.7% at the external site. The analysis shows that interference is attributed to nearly 50 X greater LoRaWAN outdoor packet loss than indoor. The interference measurement results showed a 13.2–97.3% and 4.8–54% probability of interfering signals, respectively, in the mandatory Long-Range (LoRa) uplink and downlink channels, capable of limiting LoRa coverage in some areas.
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Pospisil, Jan, Radek Fujdiak, and Konstantin Mikhaylov. "Investigation of the Performance of TDoA-Based Localization Over LoRaWAN in Theory and Practice." Sensors 20, no. 19 (September 23, 2020): 5464. http://dx.doi.org/10.3390/s20195464.
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The paper deals with the localization in a low-power wide-area-network (LPWAN) operating long-range wide-area-network (LoRaWAN) technology. The LoRaWAN is, today, one of the most widely used connectivity-enabling technologies for the battery-powered smart devices employed in a broad range of applications. Many of these applications either require or can benefit from the availability of geolocation information. The use of global positioning system (GPS) technology is restrained by the bad propagation of the signal when the device is hidden indoors, and by energy consumption such a receiver would require. Therefore, this paper focuses on an alternative solution implying the use of the information readily available in the LoRaWAN network and application of the time difference of arrival (TDoA) method for the passive geolocation of end-devices in the network. First, the limits of geolocation services in networks that use narrow-band communication channels are discussed, as well as the relevant challenges faced by the TDoA approach. Then, we select five classic TDoA algorithms and evaluate their performance using simulation. Based on these results, we select the two providing the best accuracy (i.e., Chan’s and Foy’s). These algorithms were tested by the field measurements, using the specially designed low-cost gateways and test devices to estimate their real-life performance.
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Fedullo, Tommaso, Alberto Morato, Giovanni Peserico, Luca Trevisan, Federico Tramarin, Stefano Vitturi, and Luigi Rovati. "An IoT Measurement System Based on LoRaWAN for Additive Manufacturing." Sensors 22, no. 15 (July 22, 2022): 5466. http://dx.doi.org/10.3390/s22155466.
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The Industrial Internet of Things (IIoT) paradigm represents a significant leap forward for sensor networks, potentially enabling wide-area and innovative measurement systems. In this scenario, smart sensors might be equipped with novel low-power and long range communication technologies to realize a so-called low-power wide-area network (LPWAN). One of the most popular representative cases is the LoRaWAN (Long Range WAN) network, where nodes are based on the widespread LoRa physical layer, generally optimized to minimize energy consumption, while guaranteeing long-range coverage and low-cost deployment. Additive manufacturing is a further pillar of the IIoT paradigm, and advanced measurement capabilities may be required to monitor significant parameters during the production of artifacts, as well as to evaluate environmental indicators in the deployment site. To this end, this study addresses some specific LoRa-based smart sensors embedded within artifacts during the early stage of the production phase, as well as their behavior once they have been deployed in the final location. An experimental evaluation was carried out considering two different LoRa end-nodes, namely, the Microchip RN2483 LoRa Mote and the Tinovi PM-IO-5-SM LoRaWAN IO Module. The final goal of this research was to assess the effectiveness of the LoRa-based sensor network design, both in terms of suitability for the aforementioned application and, specifically, in terms of energy consumption and long-range operation capabilities. Energy optimization, battery life prediction, and connectivity range evaluation are key aspects in this application context, since, once the sensors are embedded into artifacts, they will no longer be accessible.
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Ntshabele, Koketso, Bassey Isong, Naison Gasela, and Adnan M. Abu-Mahfouz. "A Comprehensive Analysis of LoRaWAN Key Security Models and Possible Attack Solutions." Mathematics 10, no. 19 (September 21, 2022): 3421. http://dx.doi.org/10.3390/math10193421.
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Low-Power Wide-Area Network (LPWAN) is a wireless WAN technology that connects low-powered and low-bandwidth devices with low bit rates atop Long Ranges (LoRa). It is characterized by improved scalability, wide area coverage, and low power consumption, which are beneficial to resource-constrained devices on the Internet of Things (IoT) for effective communication and security. Security in Long-Range Wide-Area Networks (LoRaWAN) widely employs Advanced Encryption Standard (AES) 128-bit symmetric encryption as the accepted security standard for a key generation that secures communication and entities. However, designing an efficient key manifestation and management model is still a challenge as different designs are based on different research objectives. To date, there is no global and well-accepted LoRaWAN security model for all applications. Thus, there is a need to continually improve the LoRaWAN security model. This paper, therefore, performed an in-depth analysis of some existing LoRaWAN key security models to identify security challenges affecting these security models and assess the strengths and weaknesses of the proposed solutions. The goal is to improve some of the existing LoRaWAN security models by analysing and bringing together several challenges that affect them. Several relevant studies were collected and analysed; the analysis shows that though there are few research works in this area, several existing LoRaWAN security models are not immune to attacks. Symmetry encryption is found to be the most used approach to manage key security due to its less computational operations. Moreover, it is possible to improve existing key security models in LPWAN with consideration of the resource constrained. Again, trusted third parties for key management were also widely used to defend against possible attacks and minimize operational complexities. We, therefore, recommend the design of lightweight and less complex LPWAN security models to sustain the lifespan of LPWAN devices.
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Fujdiak, Radek, Konstantin Mikhaylov, Jan Pospisil, Ales Povalac, and Jiri Misurec. "Insights into the Issue of Deploying a Private LoRaWAN." Sensors 22, no. 5 (March 5, 2022): 2042. http://dx.doi.org/10.3390/s22052042.
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The last decade has transformed wireless access technologies and crystallized a new direction for the internet of things (IoT). The modern low-power wide-area network (LPWAN) technologies have been introduced to deliver connectivity for billions of devices while keeping the costs and consumption low, and the range of communication high. While the 5G (fifth generation mobile network) LPWAN-like radio technologies, namely NB-IoT (narrowband internet of things) and LTE-M (long-term evolution machine type communication) are emerging, the long-range wide-area network (LoRaWAN) remains extremely popular. One unique feature of this technology, which distinguishes it from the competitors, is the possibility of supporting both public and private network deployments. In this paper we focus on this aspect and deliver original results comparing the performance of the private and public LoRAWAN deployment options; these results should help understand the LoRaWAN technology and give a clear overview of the advantages and disadvantages of the private versus public approaches. Notably, we carry the comparison along the three dimensions: the communication performance, the security, and the cost analysis. The presented results illustratively demonstrate the differences of the two deployment approaches, and thus can support selection of the most efficient deployment option for a target application.
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Fraga-Lamas, Paula, Mikel Celaya-Echarri, Peio Lopez-Iturri, Tiago Fernández-Caramés, Leyre Azpilicueta, Erik Aguirre, Manuel Suárez-Albela, Francisco Falcone, and Luis Castedo. "Analysis, Design and Empirical Validation of a Smart Campus Based on LoRaWAN." Proceedings 4, no. 1 (November 14, 2018): 7. http://dx.doi.org/10.3390/ecsa-5-05740.
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Internet of Things (IoT) applications for smart environments demand challenging requirements for wireless networks in terms of security, coverage, availability, power consumption, and scalability. The technologies employed so far to cope with IoT scenarios are not yet able to manage simultaneously all these demanding requirements, but recent solutions like Low-Power Wide Area Networks (LPWANs) have emerged as a promising alternative to provide low-cost and low-power consumption connectivity to nodes spread throughout a wide area. Specifically, the Long-Range Wide Area Network (LoRaWAN) standard is one of the most recent developments, receiving attention from both industry and academia. This work presents a comprehensive case study on the use of LoRaWAN under a realistic scenario within a smart city: a smart campus. Such a medium-scale scenario has been implemented through an in-house-developed 3D ray launching radio planning simulator that takes into consideration traffic lights, vehicles, people, buildings, urban fixtures, and vegetation. The developed tool is able to provide accurate radio propagation estimations within the smart campus scenario in terms of coverage, capacity, and energy efficiency of the network. These results are compared with an empirical validation in order to assess the operating conditions and the system accuracy. Moreover, the presented results provide some guidelines for IoT vendors, network operators, and city planners to investigate further deployments of LoRaWAN for other medium-scale smart city applications.
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Perković, Toni, Hrvoje Rudeš, Slaven Damjanović, and Antun Nakić. "Low-Cost Implementation of Reactive Jammer on LoRaWAN Network." Electronics 10, no. 7 (April 5, 2021): 864. http://dx.doi.org/10.3390/electronics10070864.
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The Low-Power Wide-Area Network (LPWA) has already started to gain a notorious adoption in the Internet of Things (IoT) landscape due to its enormous potential. It is already employed in a wide variety of scenarios involving parking lot occupancy, package delivery, smart irrigation, smart lightning, fire detection, etc. If messages from LPWA devices can be manipulated or blocked, this will violate the integrity of the collected information and lead to unobserved events (e.g., fire, leakage). This paper explores the possibility that violates message integrity by applying a reactive jamming technique that disrupts a Long Range Wide Area Network (LoRaWAN) network. As shown in this paper, using low-cost commodity hardware based on Arduino platform, an attacker can easily mount such an attack that would result in completely shutting down the entire LoRaWAN network with high probability. Several countermeasures are introduced to reduce the possibility of jamming attacks.
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Cruz, Nuno, Nuno Cota, and João Tremoceiro. "LoRaWAN and Urban Waste Management—A Trial." Sensors 21, no. 6 (March 18, 2021): 2142. http://dx.doi.org/10.3390/s21062142.
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The city of Lisbon, as any other capital of a European country, has a large number of issues regarding managing waste and recycling containers spread throughout the city. This document presents the results of a study promoted by the Lisbon City Council for trialing LPWAN (Low-Power Wide-Area Network) technology for the waste management vertical under the Lisbon Smart City initiative. Current waste management is done using GSM (Global System for Mobile communications) sensors, and the municipality aims to use LPWAN in order to improve range and reduce costs and provisioning times when changing the communications provider. After an initial study, LoRa (Long Range) and LoRAWAN (LoRa Wide Area Network) as its network counterpart, were selected as the LPWAN technology for trials considering several use cases, exploring multiple distances, types of recycling waste containers, placements (underground or surface) and kinds of commercially available waste level measurement LoRa sensors. The results showed that the underground waste containers proved to be, as expected, the most difficult to operate correctly, where the container itself imposed attenuation levels of 26 dB on the LoRa link budget. The successful results were used to promote the deployment of a city-wide LoRa network, available to all the departments inside the Lisbon City Council. Considering the network capacity, the municipality also decided to make the network freely available to citizens.
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Bravo-Montoya, Andrés F., Jefersson S. Rondón-Sanabria, and Elvis E. Gaona-García. "Development and Testing of a Real-Time LoRawan Sniffer Based on GNU-Radio." TecnoLógicas 22, no. 46 (September 20, 2019): 185–94. http://dx.doi.org/10.22430/22565337.1491.
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This paper shows the vulnerabilities present in a wireless sensor network implemented over a long-range wide area network (LoRaWAN) LoRaWAN, and identifies possible attacks that could be made to the network using sniffing and/or replay. Attacks on the network were performed by implementing a protocol analyzer (Sniffer) to capture packets. The Sniffer was implemented using the RTL2832U hardware and visualized in Wireshark, through GNU-Radio. Tests showed that data availability and confidentiality could be threatened through replay attacks with LoRa server verification using HackRF One and GNU-Radio hardware. Although the LoRaWAN specification has, frame counters to avoid replay attacks, under given the right conditions, this measure could be violated even deny service to the node on the server.
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Widianto, Eko Didik, Al Arthur Faizal, Dania Eridani, Richard Dwi Olympus Augustinus, and Michael SM Pakpahan. "Simple LoRa Protocol: Protokol Komunikasi LoRa Untuk Sistem Pemantauan Multisensor." TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol 5, no. 2 (November 27, 2019): 83–92. http://dx.doi.org/10.15575/telka.v5n2.83-92.
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Standar terbuka pada sistem komunikasi LoRa (Long Range) menyebabkan perbedaan cara implementasi dalam setiap penggunaannya. LoRaWAN (Long Range Wide Area Network) sebagai protokol bawaan LoRa masih mempunyai beberapa kekurangan yang menyebabkannya kurang efektif untuk diimplementasikan pada sistem tertentu. Penelitian ini mengembangkan protokol SLP (Simple LoRa Protocol) sebagai alternatif protokol komunikasi dan arsitektur jaringan yang didesain berdasarkan kekurangan yang dimiliki oleh LoRaWAN. Protokol ini mendefinisikan format data dan proses komunikasi antara client dan gateway dalam mode setup untuk pendaftaran node secara mandiri dan polling untuk transaksi data. Proses setup mampu mengenali node dengan konfigurasi sensor beragam dan dapat mengirmkan data dari node ke gateway dengan baik. Hasil pengujian menunjukkan bahwa SLP menghasilkan peningkatan performa QoS dalam throughput dan packet loss dari LoRaWAN menggunakan modulasi yang sama.
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Gu, Chaojie, Linshan Jiang, Rui Tan, Mo Li, and Jun Huang. "Attack-aware Synchronization-free Data Timestamping in LoRaWAN." ACM Transactions on Sensor Networks 18, no. 1 (February 28, 2022): 1–31. http://dx.doi.org/10.1145/3474368.
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Low-power wide-area network technologies such as long-range wide-area network (LoRaWAN) are promising for collecting low-rate monitoring data from geographically distributed sensors, in which timestamping the sensor data is a critical system function. This article considers a synchronization-free approach to timestamping LoRaWAN uplink data based on signal arrival time at the gateway, which well matches LoRaWAN’s one-hop star topology and releases bandwidth from transmitting timestamps and synchronizing end devices’ clocks at all times. However, we show that this approach is susceptible to a frame delay attack consisting of malicious frame collision and delayed replay. Real experiments show that the attack can affect the end devices in large areas up to about 50,000, m 2 . In a broader sense, the attack threatens any system functions requiring timely deliveries of LoRaWAN frames. To address this threat, we propose a LoRaTS gateway design that integrates a commodity LoRaWAN gateway and a low-power software-defined radio receiver to track the inherent frequency biases of the end devices. Based on an analytic model of LoRa’s chirp spread spectrum modulation, we develop signal processing algorithms to estimate the frequency biases with high accuracy beyond that achieved by LoRa’s default demodulation. The accurate frequency bias tracking capability enables the detection of the attack that introduces additional frequency biases. We also investigate and implement a more crafty attack that uses advanced radio apparatuses to eliminate the frequency biases. To address this crafty attack, we propose a pseudorandom interval hopping scheme to enhance our frequency bias tracking approach. Extensive experiments show the effectiveness of our approach in deployments with real affecting factors such as temperature variations.
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Gu, Chaojie, Linshan Jiang, Rui Tan, Mo Li, and Jun Huang. "Attack-aware Synchronization-free Data Timestamping in LoRaWAN." ACM Transactions on Sensor Networks 18, no. 1 (February 28, 2022): 1–31. http://dx.doi.org/10.1145/3474368.
Full textAbstract:
Low-power wide-area network technologies such as long-range wide-area network (LoRaWAN) are promising for collecting low-rate monitoring data from geographically distributed sensors, in which timestamping the sensor data is a critical system function. This article considers a synchronization-free approach to timestamping LoRaWAN uplink data based on signal arrival time at the gateway, which well matches LoRaWAN’s one-hop star topology and releases bandwidth from transmitting timestamps and synchronizing end devices’ clocks at all times. However, we show that this approach is susceptible to a frame delay attack consisting of malicious frame collision and delayed replay. Real experiments show that the attack can affect the end devices in large areas up to about 50,000, m 2 . In a broader sense, the attack threatens any system functions requiring timely deliveries of LoRaWAN frames. To address this threat, we propose a LoRaTS gateway design that integrates a commodity LoRaWAN gateway and a low-power software-defined radio receiver to track the inherent frequency biases of the end devices. Based on an analytic model of LoRa’s chirp spread spectrum modulation, we develop signal processing algorithms to estimate the frequency biases with high accuracy beyond that achieved by LoRa’s default demodulation. The accurate frequency bias tracking capability enables the detection of the attack that introduces additional frequency biases. We also investigate and implement a more crafty attack that uses advanced radio apparatuses to eliminate the frequency biases. To address this crafty attack, we propose a pseudorandom interval hopping scheme to enhance our frequency bias tracking approach. Extensive experiments show the effectiveness of our approach in deployments with real affecting factors such as temperature variations.
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Joo, Jung Suk. "On the Gray Indexing in LoRa PHY." International Research Journal of Computer Science 8, no. 10 (October 30, 2021): 243–45. http://dx.doi.org/10.26562/irjcs.2021.v0810.002.
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Long range wide area network (LoRaWAN) is one of the most widely used low power wide area (LPWA) network technologies operating in the unlicensed ISM band. Its physical layer (that is, LoRa PHY) which is Semtech's proprietary technology uses Gray indexing in LoRa symbol mapping. In this paper, we will investigate the effect of Gray indexing to the performance of LoRa PHY. Specifically, through computer simulations, we will compare FER performances according to with and without Gray indexing in AWGN and Rician fading environments.
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Sallum, Eduardo, Nuno Pereira, Mário Alves, and Max Santos. "Improving Quality-Of-Service in LoRa Low-Power Wide-Area Networks through Optimized Radio Resource Management." Journal of Sensor and Actuator Networks 9, no. 1 (February 8, 2020): 10. http://dx.doi.org/10.3390/jsan9010010.
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Low Power Wide Area Networks (LPWAN) enable a growing number of Internet-of-Things (IoT) applications with large geographical coverage, low bit-rate, and long lifetime requirements. LoRa (Long Range) is a well-known LPWAN technology that uses a proprietary Chirp Spread Spectrum (CSS) physical layer, while the upper layers are defined by an open standard—LoRaWAN. In this paper, we propose a simple yet effective method to improve the Quality-of-Service (QoS) of LoRaWAN networks by fine-tuning specific radio parameters. Through a Mixed Integer Linear Programming (MILP) problem formulation, we find optimal settings for the Spreading Factor (SF) and Carrier Frequency (CF) radio parameters, considering the network traffic specifications as a whole, to improve the Data Extraction Rate (DER) and to reduce the packet collision rate and the energy consumption in LoRa networks. The effectiveness of the optimization procedure is demonstrated by simulations, using LoRaSim for different network scales. In relation to the traditional LoRa radio parameter assignment policies, our solution leads to an average increase of 6% in DER, and a number of collisions 13 times smaller. In comparison to networks with dynamic radio parameter assignment policies, there is an increase of 5%, 2.8%, and 2% of DER, and a number of collisions 11, 7.8 and 2.5 times smaller than equal-distribution, Tiurlikova’s (SOTA), and random distribution, respectively. Regarding the network energy consumption metric, the proposed optimization obtained an average consumption similar to Tiurlikova’s, and 2.8 times lower than the equal-distribution and random dynamic allocation policies. Furthermore, we approach the practical aspects of how to implement and integrate the optimization mechanism proposed in LoRa, guaranteeing backward compatibility with the standard protocol.
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Heudtlaß, Steffen. "„Stadtwerke sollten Zukunftsfelder schnell besetzen“." BWK ENERGIE. 71, no. 05 (2019): 24–25. http://dx.doi.org/10.37544/1618-193x-2019-05-24.
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INTERNET OF THINGS | Ob Smart Home, Smart Building oder Smart City – Stadtwerke sollten die neuen Betätigungsfelder mithilfe der Long-Range-Wide-Area-Network (LoRaWAN)-Funktechnologie rasch besetzen, rät Steffen Heudtlaß, bei der MeterPan GmbH verantwortlicher Geschäftsentwickler. Das Unternehmen aus Norderstedt unterstützt Versorger beim Schritt in die Welt des Internet of Things (IoT).
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Loukil, Slim, Lamia Chaari Fourati, Anand Nayyar, and K. W. A. Chee. "Analysis of LoRaWAN 1.0 and 1.1 Protocols Security Mechanisms." Sensors 22, no. 10 (May 13, 2022): 3717. http://dx.doi.org/10.3390/s22103717.
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LoRaWAN is a low power wide area network (LPWAN) technology protocol introduced by the LoRa Alliance in 2015. It was designed for its namesake features: long range, low power, low data rate, and wide area networks. Over the years, several proposals on protocol specifications have addressed various challenges in LoRaWAN, focusing on its architecture and security issues. All of these specifications must coexist, giving rise to the compatibility issues impacting the sustainability of this technology. This paper studies the compatibility issues in LoRaWAN protocols. First, we detail the different protocol specifications already disclosed by the LoRa Alliance in two major versions, v1.0 and v1.1. This is done through presenting two scenarios where we discuss the communication and security mechanisms. In the first scenario, we describe how an end node (ED) and network server (NS) implementing LoRaWAN v1.0 generate session security keys and exchange messages for v1.0. In the second scenario, we describe how an ED v1.1 and an NS v1.1 communicate after generating security session keys. Next, we highlight the compatibility issues between the components implementing the two different LoRaWAN Specifications (mainly v1.0 and v1.1). Next, we present two new scenarios (scenarios 3 and 4) interchanging the ED and NS versions. In scenario three, we detail how an ED implementing LoRaWAN v1.1 communicates with an NS v1.0. Conversely, in scenario four, we explain how an ED v1.0 and an NS v1.1 communicate. In all these four scenarios, we highlight the concerns with security mechanism: show security session keys are generated and how integrity and confidentiality are guaranteed in LoRaWAN. At the end, we present a comparative table of these four compatibility scenarios.
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Turčinović, Filip, Gordan Šišul, and Marko Bosiljevac. "LoRaWAN Base Station Improvement for Better Coverage and Capacity." Journal of Low Power Electronics and Applications 12, no. 1 (December 30, 2021): 1. http://dx.doi.org/10.3390/jlpea12010001.
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Low Power Wide Area Network (LPWAN) technologies provide long-range and low power consumption for many battery-powered devices used in Internet of Things (IoT). One of the most utilized LPWAN technologies is LoRaWAN (Long Range WAN) with over 700 million connections expected by the year 2023. LoraWAN base stations need to ensure stable and energy-efficient communication without unnecessary repetitions with sufficient range coverage and good capacity. To meet these requirements, a simple and efficient upgrade in the design of LoRaWAN base station is proposed, based on using two or more concentrators. The development steps are outlined in this paper and the evaluation of the enhanced base station is done with a series of measurements conducted in Zagreb, Croatia. Through these measurements we compared received messages and communication parameters on novel and standard base stations. The results showed a significant increase in the probability of successful reception of messages on the novel base station which corresponds to the increase of base station capacity and can be very beneficial for the energy consumption of most LoRaWAN end devices.
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Manzoni, Pietro, Carlos T. Calafate, Juan-Carlos Cano, and Enrique Hernández-Orallo. "Indoor Vehicles Geolocalization Using LoRaWAN." Future Internet 11, no. 6 (May 31, 2019): 124. http://dx.doi.org/10.3390/fi11060124.
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One of the main drawbacks of Global Navigation Satellite Sytems (GNSS) is that they do not work indoors. When inside, there is often no direct line from the satellite signals to the device and the ultra high frequency (UHF) used is blocked by thick, solid materials such as brick, metal, stone or wood. In this paper, we describe a solution based on the Long Range Wide Area Network (LoRaWAN) technology to geolocalise vehicles indoors. Through estimation of the behaviour of a LoRaWAN channel and using trilateration, the localisation of a vehicle can be obtained within a 20–30 m range. Indoor geolocation for Intelligent Transporation Systems (ITS) can be used to locate vehicles of any type in underground parkings, keep a platoon of trucks in formation or create geo-fences, that is, sending an alert if an object moves outside a defined area, like a bicycle being stolen. Routing of heavy vehicles within an industrial setting is another possibility.
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Fan, Chun-I., Er-Shuo Zhuang, Arijit Karati, and Chun-Hui Su. "A Multiple End-Devices Authentication Scheme for LoRaWAN." Electronics 11, no. 5 (March 3, 2022): 797. http://dx.doi.org/10.3390/electronics11050797.
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With the advancement of the Internet of Things, the LoRa Alliance produced the Long-Range Wide-Area Network (LoRaWAN) Specification, allowing end-devices to transit through a gateway and join the LoRa network after completing a join procedure. When an end-device joins the LoRaWAN network, it must send a join request message to the network server and wait for the network server to verify such request under the current LoRaWAN join protocol. However, as the number of end-devices grows exponentially, network server verification messages will grow linearly with the number of end-devices. This paper proposes an authentication system for multiple end-devices that complies with the LoRa Alliance’s specifications and decreases the joining latency imposed by the network server verifying messages. The proposed authentication system is formally secure against the server and end-device impersonation. In addition, we assess the authentication overhead and compare it to the standard approach.
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Nabila P, Msy Yustenti, and Muhammad Arrofiq. "Perancangan Aplikasi Web untuk Pemantauan dan Pengendalian Sistem Panel Surya Berbasis Long Range Wide Area Network (LoRaWAN)." Jurnal Rekayasa Elektrika 17, no. 1 (March 29, 2021): 42–52. http://dx.doi.org/10.17529/jre.v17i1.18158.
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Han, Jialuo, and Jidong Wang. "An Enhanced Key Management Scheme for LoRaWAN." Cryptography 2, no. 4 (November 2, 2018): 34. http://dx.doi.org/10.3390/cryptography2040034.
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The LoRaWAN is one of the new low-power wide-area network (LPWAN) standards applied to Internet of Things (IoT) technology. The key features of LPWAN are its low power consumption and long-range coverage. The LoRaWAN 1.1 specification includes a basic security scheme. However, this scheme could be further improved in the aspect of key management. In this paper, LoRaWAN 1.1 security is reviewed, and enhanced LoRaWAN security with a root key update scheme is proposed. The root key update will make cryptoanalysis of security keys in LoRaWAN more difficult. The analysis and simulation show that the proposed root key update scheme requires fewer computing resources compared with other key derivation schemes, including the scheme used in the LoRaWAN session key update. The results also show the key generated in the proposed scheme has a high degree of randomness, which is a basic requirement for a security key.
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Loh, Frank, Noah Mehling, and Tobias Hoßfeld. "Towards LoRaWAN without Data Loss: Studying the Performance of Different Channel Access Approaches." Sensors 22, no. 2 (January 17, 2022): 691. http://dx.doi.org/10.3390/s22020691.
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The Long Range Wide Area Network (LoRaWAN) is one of the fastest growing Internet of Things (IoT) access protocols. It operates in the license free 868 MHz band and gives everyone the possibility to create their own small sensor networks. The drawback of this technology is often unscheduled or random channel access, which leads to message collisions and potential data loss. For that reason, recent literature studies alternative approaches for LoRaWAN channel access. In this work, state-of-the-art random channel access is compared with alternative approaches from the literature by means of collision probability. Furthermore, a time scheduled channel access methodology is presented to completely avoid collisions in LoRaWAN. For this approach, an exhaustive simulation study was conducted and the performance was evaluated with random access cross-traffic. In a general theoretical analysis the limits of the time scheduled approach are discussed to comply with duty cycle regulations in LoRaWAN.
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Mohamed, Ali, Franz Wang, Ismail Butun, Junaid Qadir, Robert Lagerström, Paolo Gastaldo, and Daniele D. Caviglia. "Enhancing Cyber Security of LoRaWAN Gateways under Adversarial Attacks." Sensors 22, no. 9 (May 4, 2022): 3498. http://dx.doi.org/10.3390/s22093498.
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The Internet of Things (IoT) has disrupted the IT landscape drastically, and Long Range Wide Area Network (LoRaWAN) is one specification that enables these IoT devices to have access to the Internet. Former security analyses have suggested that the gateways in LoRaWAN in their current state are susceptible to a wide variety of malicious attacks, which can be notoriously difficult to mitigate since gateways are seen as obedient relays by design. These attacks, if not addressed, can cause malfunctions and loss of efficiency in the network traffic. As a solution to this unique problem, this paper presents a novel certificate authentication technique that enhances the cyber security of gateways in the LoRaWAN network. The proposed technique considers a public key infrastructure (PKI) solution that considers a two-tier certificate authority (CA) setup, such as a root-CA and intermediate-CA. This solution is promising, as the simulation results validate that about 66.67% of the packets that are arriving from an illegitimate gateway (GW) are discarded in our implemented secure and reliable solution.
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Hakeem, Shimaa A. Abdel, Sherine M. Abd El-Kader, and HyungWon Kim. "A Key Management Protocol Based on the Hash Chain Key Generation for Securing LoRaWAN Networks." Sensors 21, no. 17 (August 30, 2021): 5838. http://dx.doi.org/10.3390/s21175838.
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Recently, many Low Power Wide Area Network (LPWAN) protocols have been proposed for securing resource-constrained Internet of Things (IoT) devices with negligible power consumption. The Long Range Wide Area Network (LoRaWAN) is a low power communication protocol that supports message authentication, integrity, and encryption using two-session preshared secret keys. However, although the LoRaWAN supports some security functions, it suffers from session key generation and key update problems. This motivates us to introduce a new key management protocol that resolves the LoRaWAN problems and supports key updates. The proposed protocol is based on hash chain generation using a one-way hash function. Network entities share a common hash chain of n key elements to allow using a unique signing key per message. We also propose a salt hashing algorithm that encrypts the original keys into a different form to avoid the physical attacks at the end device side. We analyzed the proposed key generation performance in terms of the computation time, the required storage, and the communication overhead. We implemented and tested the proposed key generation protocol using the NS-3 network simulator. The proposed lightweight key generation protocol significantly enhances the security of the original LoRaWAN at a negligible overhead. The proposed protocol reduces the power consumption and transmission time by two times compared with some previous protocols. In addition, the proposed key generation protocol can resist attacks, such as key compromising attacks and replay attacks, and it supports the Perfect Forward Secrecy, which was not supported by LoRaWAN.
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Milani, Stefano, and Ioannis Chatzigiannakis. "Design, Analysis, and Experimental Evaluation of a New Secure Rejoin Mechanism for LoRaWAN Using Elliptic-Curve Cryptography." Journal of Sensor and Actuator Networks 10, no. 2 (June 18, 2021): 36. http://dx.doi.org/10.3390/jsan10020036.
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LoRaWAN (Long Range Wide Area Network) is a Low-Power Wide Area Networks (LPWAN) technology with very rapid uptake during the previous years, developed by the LoRa (Long Range) Alliance as an open standard operating over the unlicensed band. Current LoRaWAN architecture foresees specific techniques for bootstrapping end-to-end encryption during network initialization. In particular, this work focuses on the Over-The-Air Activation (OTAA) method, which uses two keys (Network key (NwkKey) and Application key (AppKey)) that are hard-coded into the device and do not change throughout the entire lifetime of the deployment. The inability to refresh these two keys is as a weak point in terms of the overall security of the network especially when considering deployments that are expected to operate for at least 10–15 years. In this paper, the security issues of OTAA are presented in detail highlighting the vulnerabilities against the specific type of attacks. A new scheme for network activation is proposed that builds upon the current LoRaWAN architecture in a way that maintains backwards compatibility while resolving certain vulnerabilities. Under the new mechanism, the devices periodically negotiate new keys securely based on elliptic-curve cryptography. The security properties of the proposed mechanism are analyzed against a specific type of attacks. The analysis indicates that the new secure rejoin mechanism guarantees (i) computational key secrecy, (ii) decisional key secrecy, and (iii) key independence, forward and backward, for both root keys thus properly addressing the considered security vulnerabilities of LoRaWAN. Moreover, the method is implemented in software using the RIOT-OS, a hardware-independent operating system that supports many different architectures for 8 bit, 16 bit, 32 bit and 64 bit processors. The resulting software is evaluated on the FIT IoT-Lab real-world experimentation facility under a diverse set of ARM Cortex-M* devices targeting a broad range of IoT applications, ranging from advanced wearable devices to interactive entertainment devices, home automation and industrial cyber-physical systems. The experiments indicate that the overall overhead incurred in terms of energy and time by the proposed rejoin mechanism is acceptable given the low frequency of execution and the improvements to the overall security of the LoRaWAN1.1 OTAA method.
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Oukessou, Yassine, Mohamed Baslam, and Mohamed Oukessou. "Improved uplink throughput and energy efficiency of LoRaWAN using 2-hop LEACH protocol." Indonesian Journal of Electrical Engineering and Computer Science 24, no. 3 (December 1, 2021): 1557. http://dx.doi.org/10.11591/ijeecs.v24.i3.pp1557-1563.
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The low power wide area networks (LPWAN) is the new connectivity technology that is geared towards energy constrained internet of things (IoT) devices, is starting to become one of the drivers of the re-accelerating IoT market and has one goal: ensure the wide range distance while reducing the battery energy consumption. We focus in this paper on the evaluation of the uplink throughput of the long-range wide area networks (LoRaWAN) then we attempt optimize the throughput and power dissipation using low energy adaptive clustering hierarchy (LEACH) protocol. Therefore, we exploit a novel module developed in NS-3 simulator for obtaining the first measurements scenario, then the LEACH algorithm for the second optimization case. As result, the simulation analysis will help us to add a new LoRaWAN routing protocol feature.
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Kufakunesu, Rachel, Gerhard Hancke, and Adnan Abu-Mahfouz. "A Fuzzy-Logic Based Adaptive Data Rate Scheme for Energy-Efficient LoRaWAN Communication." Journal of Sensor and Actuator Networks 11, no. 4 (October 11, 2022): 65. http://dx.doi.org/10.3390/jsan11040065.
Full textAbstract:
Long Range Wide Area Network (LoRaWAN) technology is rapidly expanding as a technology with long distance connectivity, low power consumption, low data rates and a large number of end devices (EDs) that connect to the Internet of Things (IoT) network. Due to the heterogeneity of several applications with varying Quality of Service (QoS) requirements, energy is expended as the EDs communicate with applications. The LoRaWAN Adaptive Data Rate (ADR) manages the resource allocation to optimize energy efficiency. The performance of the ADR algorithm gradually deteriorates in dense networks and efforts have been made in various studies to improve the algorithm’s performance. In this paper, we propose a fuzzy-logic based adaptive data rate (FL-ADR) scheme for energy efficient LoRaWAN communication. The scheme is implemented on the network server (NS), which receives sensor data from the EDs via the gateway (GW) node and computes network parameters (such as the spreading factor and transmission power) to optimize the energy consumption of the EDs in the network. The performance of the algorithm is evaluated in ns-3 using a multi-gateway LoRa network with EDs sending data packets at various intervals. Our simulation results are analyzed and compared to the traditional ADR and the ns-3 ADR. The proposed FL-ADR outperforms the traditional ADR algorithm and the ns-3 ADR minimizing the interference rate and energy consumption.
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Pensieri, Sara, Federica Viti, Gabriele Moser, Sebastiano Bruno Serpico, Luca Maggiolo, Martina Pastorino, David Solarna, et al. "Evaluating LoRaWAN Connectivity in a Marine Scenario." Journal of Marine Science and Engineering 9, no. 11 (November 4, 2021): 1218. http://dx.doi.org/10.3390/jmse9111218.
Full textAbstract:
The growing need for interoperability among the different oceanic monitoring systems to deliver services able to answer the requirements of stakeholders and end-users led to the development of a low-cost machine-to-machine communication system able to guarantee data reliability over marine paths. In this framework, an experimental evaluation of the performance of long-range (LoRa) technology in a fully operational marine scenario has been proposed. In-situ tests were carried out exploiting the availability of (i) a passenger vessel and (ii) a research vessel operating in the Ligurian basin (North-Western Mediterranean Sea) both hosting end-nodes, and (iii) gateways positioned on mountains and hills in the inland areas. Packet loss ratio, packet reception rate, received signal strength indicator, signal to noise, and expected signal power ratio were chosen as metrics in line of sight and not the line of sight conditions. The reliability of Long Range Wide Area Network (LoRaWAN) transmission over the sea has been demonstrated up to more than 110 km in a free space scenario and for more than 20 km in a coastal urban environment.
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Wounchoum, Phairote, Akekapong Kongsavat, and Chalakorn Karupongsiri. "Designing and Implementing a Microstrip Antenna on LoRa Frequency for Smart Meter Communication." Electronics ETF 26, no. 1 (June 15, 2022): 9–16. http://dx.doi.org/10.53314/els2226009w.
Full textAbstract:
The long-range wide area network (LoRaWAN) has been widely used for sensor networks, including smart meter (SM). The SM can report power consumption to the control center automatically via a communication link. An antenna is a key component to indicate an effective communication system. The microstrip antenna (MSA) works based on the unidirectional radiation pattern. The advantages of MSA are its light weight, small size, and ability to be easily etched on a print circuit board. These advantages are needed for the SM communication because SMs are installed on electric poles that have limited space. In this pa- per, we implement the MSA for SM communication on LoRaWAN technology that operates at a frequency of 920–925 MHz in Thailand. The proposed MSA is used to design a new path loss model for LoRaWAN in urban areas. Results show that our MSA is effectively close to commercial antennas in a 2.2 km range, with the packet delivery ratio reaching 52.93%. We analyze the results by using a mathematical equation that includes the free space model, the Okumura–Hata model, root mean squared error, and coefficient of determination.
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Dai, Rushi, Orwa Diraneyya, and Sigrid Brell-Çokcan. "Improving data communication on construction sites via LoRaWAN." Construction Robotics 5, no. 2 (May 4, 2021): 87–100. http://dx.doi.org/10.1007/s41693-021-00059-8.
Full textAbstract:
AbstractEasily-accessible and reliable data communication in construction processes ensures high building quality, efficient workflow and secure working environments. The setup of network infrastructure on construction sites provides the necessary condition for timely and effective data communication. This paper researches a solution for on-site networking by implementing an IoT network on a reference construction site in Germany. In contrast to high-cost and high-bandwidth network infrastructure, a Long Range Wide Area Network–LoRaWAN with low cost and low bandwidth was deployed on the site. With additional IoT servers and LoRa-enabled devices, the reference construction site is able to communicate remotely with a robotic lab. In order to validate this concept of LoRaWAN on construction sites, an intra-site logistics and task scheduling system was developed to test the network performance. This paper conducts a preliminary study on the application of the IoT network technology–LoRaWAN in the logistics automation in construction. The test results can be used as references for other automation applications, such as internet of robot, intelligent process management, decision making system, etc.