Journal articles: 'Wireless sensor networking'

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Jun Zheng, P. Lorenz, and P. Dini. "Wireless sensor networking [Guest editorial]." IEEE Network 20, no. 3 (May 2006): 4–5. http://dx.doi.org/10.1109/mnet.2006.1637925.

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Shen, Xuemin, Qian Zhang, and Robert Qiu. "Wireless sensor networking [Guest Editorial]." IEEE Wireless Communications 14, no. 6 (December 2007): 4–5. http://dx.doi.org/10.1109/mwc.2007.4407220.

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Dohler, Mischa, Kris Pister, Wendi Heinzelman, Mani Srivastava, Ivan Stojmenovic, Kay Romer, and Martha Steenstrup. "Simple wireless sensor networking solutions." IEEE Journal on Selected Areas in Communications 28, no. 7 (September 2010): 969–72. http://dx.doi.org/10.1109/jsac.2010.100901.

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Liu, Yan Ju, and Xin Hua Li. "Study on Application of Wireless Sensor Networking in Environmental Monitoring." Applied Mechanics and Materials 157-158 (February 2012): 1297–300. http://dx.doi.org/10.4028/www.scientific.net/amm.157-158.1297.

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A novel wireless sensor networks is designed with integrating sensors, embedded operating systems and wireless networking technology. The temperature, humidity, light strength and pressure around the sensor could be measured accurately. The collected data by sensor networks are analysed and treated in PC computer via USB interface. LEACH communication protocol was introduced to ZigBee networks in this paper. The node programs were exploited based on IAR System platform to accomplish data collection.

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Thangamuthu, A. P. "Security in Wireless Sensor Networks: Issues and Challenges." Shanlax International Journal of Arts, Science and Humanities 8, no. 4 (April 1, 2021): 120–28. http://dx.doi.org/10.34293/sijash.v8i4.3671.

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Wireless sensor networks (WSNs) have made it easier for people to live in various fields: medical engineering, agriculture. With computing power and wireless networking, sensing technology makes it lucrative for its potential abundance of use. Since the many uses of such systems have been used, lightweight, inexpensive, disposable and self-contained computers, known as sensor nodes or “motes,” are created. WSNs are commonly used in applications for monitoring, tracking and control. These include centralized management, system heterogeneity, protocol routing, the versatility of node, the privacy of information and restricted computing capacity. WSN covers a wide geographical area; routing protocols, scalability and security should therefore be addressed. In the traditional networking technique, there are major benefits due to the low cost and cooperative design of wireless networks (WNs). The networks with wireless sensors have more advantages over wired networks. Although wireless networks have various advantages, they are vulnerable to security problems. Due to the broader application, safety has become an important issue for wireless sensor networks.

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Intanagonwiwat, C., R. Govindan, D. Estrin, J. Heidemann, and F. Silva. "Directed diffusion for wireless sensor networking." IEEE/ACM Transactions on Networking 11, no. 1 (February 2003): 2–16. http://dx.doi.org/10.1109/tnet.2002.808417.

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Ganesan, Deepak, Alberto Cerpa, Wei Ye, Yan Yu, Jerry Zhao, and Deborah Estrin. "Networking issues in wireless sensor networks." Journal of Parallel and Distributed Computing 64, no. 7 (July 2004): 799–814. http://dx.doi.org/10.1016/j.jpdc.2004.03.016.

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Duan, Qun, and A. Ni Zhao. "Analysis and Prospect of Wireless Sensor Network Routing Technology." Advanced Materials Research 411 (November 2011): 592–96. http://dx.doi.org/10.4028/www.scientific.net/amr.411.592.

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A wireless sensor network integrates sensor technology, embedded computing technology, modern networking and wireless communication technology, distributed information processing technology to form a wireless network. This paper analyzes the architecture of the wireless sensor network and its routing features, analyzes current wireless sensor network routing protocols, and summarizes wireless sensor routing technology development prospects.

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Yang, Guang You, Si Jian Zhu, Rui Quan, and Zhi Yan Ma. "Research on Wireless Sensor Networks Based on Open Source System." Key Engineering Materials 621 (August 2014): 712–18. http://dx.doi.org/10.4028/www.scientific.net/kem.621.712.

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As the key technologies such as wireless communication, sensor continues to mature, wireless sensor networks has become a domestic and foreign focus of research in the field of wireless networks. The main work of the thesis is to implement ZigBee wireless sensor networking, using open source protocol FreakZ On the base of existing hardware. WSN hardware node consists of 32-bit microprocessor STM32F102CB based on ARM Cortex-M3 kernel and AT86RF212 radio transceiver; the software platform uses a lightweight multi-tasking operating system Contiki and open source protocol stack called FreakZ following ZigBee protocol specification, for networking wireless networks nodes. The paper presents the system architecture of WSN networking and its hardware components, software architecture and data transmission and reception processes of the networks. Using FreakZ protocol stack under the Contiki operating system on the base of the existing hardware platform, the network nodes information and topology displayed on the HyperTerminal indicates the success of WSN networking by using FreakZ protocol.

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Luo, Hanjiang, Xu Wang, Ziyang Xu, Chao Liu, and Jeng-Shyang Pan. "A software-defined multi-modal wireless sensor network for ocean monitoring." International Journal of Distributed Sensor Networks 18, no. 1 (January 2022): 155014772110683. http://dx.doi.org/10.1177/15501477211068389.

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The software-defined networking paradigm enables wireless sensor networks as a programmable and reconfigurable network to improve network management and efficiency. However, several challenges arise when implementing the concept of software-defined networking in maritime wireless sensor networks, as the networks operate in harsh ocean environments, and the dominant underwater acoustic systems are with limited bandwidth and high latency, which render the implementation of software-defined networking central-control difficult. To cope with the problems and meet demand for high-speed data transmission, we propose a radio frequency–acoustic software-defined networking-based multi-modal wireless sensor network which leverages benefits of both radio frequency and acoustic communication systems for ocean monitoring. We first present the software-defined networking-based multi-modal network architecture, and then explore two examples of applications with this architecture: network deployment and coverage for intrusion detection with both grid-based and random deployment scenarios, and a novel underwater testbed design by incorporating radio frequency–acoustic multi-modal techniques to facilitate marine sensor network experiments. Finally, we evaluate the performance of deployment and coverage of software-defined networking-based multi-modal wireless sensor network through simulations with several scenarios to verify the effectiveness of the network.

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Darade, Santosh Ashokrao, and M. Akkalakshmi. "Extensive Literature Survey on Load Balancing in Software-Defined Networking." International Journal of Business Data Communications and Networking 16, no. 2 (July 2020): 1–19. http://dx.doi.org/10.4018/ijbdcn.2020070101.

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The localization of underwater sensors is the most crucial task in underwater wireless sensor networks (UWSNs). The sensors, which are situated under the water, sense data from the environment, and sensed data is transmitted to the monitoring station. Although the monitoring station receives the sensed data, the data is meaningless without knowing the exact position of the sensor. Localization is the major issue in UWSN to be resolved. There are several localization algorithms available for terrestrial wireless sensor networks (WSN), but there are comparatively few localization algorithms available for UWSNs. An improved range-based localization method is introduced in this paper to discover localization issue. To evaluate the location of the target sensors, localization error is further to be reduced. The localization error is reduced by applying the whale optimization algorithm (WOA) in this technique. Simulation results demonstrate that performance metrics of the proposed approach outperform the existing work in terms of localization error and localization coverage.

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Miskowicz, Marek, and Ryszard Golanski. "LON Technology in Wireless Sensor Networking Applications." Sensors 6, no. 1 (January 20, 2006): 30–48. http://dx.doi.org/10.3390/s6010030.

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Shiwen Mao, Y. T. Hou, and Min-You Wu. "Exploiting edge capability for wireless sensor networking." IEEE Wireless Communications 15, no. 4 (August 2008): 67–73. http://dx.doi.org/10.1109/mwc.2008.4599223.

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Kusriyanto, Medilla, Firdaus, Andik Yulianto, and Syakban Kurniawan. "Early detection of LPG gas leakage based Wireless Sensor Networking." MATEC Web of Conferences 154 (2018): 01045. http://dx.doi.org/10.1051/matecconf/201815401045.

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LPG gas is the main fuel used in households. These days LPG gas leak triggered an accident that resulted in huge losses, especially if the accident occurred within the dense housing. LPG gas leakage monitoring and early detection of a gas leak and a leak warning is needed to prevent more fatal accident. Wireless sensor networking is a technology that can be used to build a centralized monitoring system by using a microcontroller as the interface and control system. This research developed system device monitoring and early detection of gas leaks by utilizing gas sensors MQ-4 and AVR microcontroller family as control devices. The system is also equipped with XBee PRO S2B nirkable devices as the interface to the wireless networking system that is used to transmit sensor data from the detection point to the monitoring center equipped with a PC and software integrated Visual Basic. Gas leak alert is sent with the message formats through social networking Gtalk.

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Wenxing, Liao, Wu Muqing, and Wu Yuewei. "Design of multi-energy-space-based energy-efficient algorithm in novel software-defined wireless sensor networks." International Journal of Distributed Sensor Networks 13, no. 7 (July 2017): 155014771771811. http://dx.doi.org/10.1177/1550147717718113.

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Energy efficiency has always been a hot issue in wireless sensor networks. A lot of energy-efficient algorithms have been proposed to reduce energy consumption in traditional wireless sensor networks. With the emergence of software-defined networking, researchers have demonstrated the feasibility of software-defined networking over traditional wireless sensor networks. Thus, energy-efficient algorithms in software-defined wireless sensor networks have been studied. In this article, we propose an energy-efficient algorithm based on multi-energy-space in software-defined wireless sensor networks. First, we propose a novel architecture of software-defined wireless sensor networks according to current research on software-defined wireless sensor networks. Then, we introduce the concept of multi-energy-space which is based on the residual energy. Based on the novel architecture of software-defined wireless sensor networks and the concept of multi-energy-space, we give a detailed introduction of the main idea of our multi-energy-space-based energy-efficient algorithm. Simulation results show that our proposed algorithm performs better in energy consumption balance and network lifetime extension compared with the typical energy-efficient algorithms in traditional wireless sensor networks.

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Liu, Yang, Xuehui Ma, Yuting Li, Yong Tie, Yinghui Zhang, and Jing Gao. "Water Pipeline Leakage Detection Based on Machine Learning and Wireless Sensor Networks." Sensors 19, no. 23 (November 21, 2019): 5086. http://dx.doi.org/10.3390/s19235086.

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The detection of water pipeline leakage is important to ensure that water supply networks can operate safely and conserve water resources. To address the lack of intelligent and the low efficiency of conventional leakage detection methods, this paper designs a leakage detection method based on machine learning and wireless sensor networks (WSNs). The system employs wireless sensors installed on pipelines to collect data and utilizes the 4G network to perform remote data transmission. A leakage triggered networking method is proposed to reduce the wireless sensor network’s energy consumption and prolong the system life cycle effectively. To enhance the precision and intelligence of leakage detection, we propose a leakage identification method that employs the intrinsic mode function, approximate entropy, and principal component analysis to construct a signal feature set and that uses a support vector machine (SVM) as a classifier to perform leakage detection. Simulation analysis and experimental results indicate that the proposed leakage identification method can effectively identify the water pipeline leakage and has lower energy consumption than the networking methods used in conventional wireless sensor networks.

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Uhl, Tadeusz, Artur Hanc, Krzysztof Tworkowski, and Łukasz Sekiewicz. "Wireless Sensor Network Based Bridge Monitoring System." Key Engineering Materials 347 (September 2007): 499–504. http://dx.doi.org/10.4028/www.scientific.net/kem.347.499.

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This paper presented idea and implementation of efficient, reliable wireless bridge monitoring system. The system using Wireless Sensor Network to collect the related environment parameters (vibrations, temperature, humidity) and transmitting data to the main server. The system eliminates stand-alone laboratory benchtop equipment sets and cable-based, hard-wired sensor networking. Modern MEMS technology for vibrations measurement and integrated humidity/temperature sensors application for structural monitoring is presented. Data collected by the wireless monitoring system is compared to data from a traditional wired monitoring system. Both – traditional and wireless collected data that can be used to accurately identify modal frequencies and mode shapes of the bridge. Case study of the system on bridge located over Vistula river in Krakow is shown.

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Kotsilieris, Theodore C., and George T. Karetsos. "Prolonging the Lifetime of Two-Tiered Wireless Sensor Networks with Mobile Relays." ISRN Sensor Networks 2013 (March 5, 2013): 1–7. http://dx.doi.org/10.1155/2013/610796.

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We propose a clustering scheme for wireless sensor nodes in hierarchical wireless sensor networking architectures that employs mobile relay nodes in order to achieve energy conservation and network lifetime prolongation. The key aspects of our scheme are relay node relocation and reclustering when failures are detected. The performance of the proposed approach is evaluated via simulations for various topology layouts based on the sensor node population and number of mobile relay nodes employed. The results show significant energy savings in particular for topologies with large numbers of sensors.

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Luo, Gao Feng, Zi Juan Shi, and You Quan Xu. "Simulation and Visualization of Wireless Sensor Networks Based on NS2." Applied Mechanics and Materials 687-691 (November 2014): 1766–69. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.1766.

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This paper analyzed wireless sensor network simulation technology. We discussed the principles of wireless sensor network simulation based on NS2 and constructed a visual simulation model for wireless sensor networks. By adding NS2 protocol and setting the sensor nodes and some simple parameters, the system presented the running process and the performance of the network in the form of animation and graphics. The results show that this method simplifies the process of simulation of wireless sensor networks, and improves the efficiency of wireless sensor networks research and development, which provides support for the development of application-oriented networking of wireless sensor networks.

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Li, Jian, Chuan Kun Li, Kun Li, Cheng Wang, and Rui Yue. "A Node Design for Wireless Multi-Mode Sensor." Advanced Materials Research 864-867 (December 2013): 2812–16. http://dx.doi.org/10.4028/www.scientific.net/amr.864-867.2812.

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To solve the problem that the present geological monitoring system's large size and high power consumption, this paper designed a miniaturized and high integrated geological monitoring sensor node. The node uses acceleration sensors and temperature-humidity sensors to detect the environmental parameter, and use GPRS module to construct wireless transmission system, which greatly improves transmission distance and reduces the difficulty of the networking, and uses MSP430F5 series micro-controller to control the node. After experiments and testings, the multi-mode wireless sensor nodes introduced in this paper, can effectively measure the information of of the earth's surfaces, such as the humidity, tilt angle and displacement, and so on . It will have a certain engineering value in geological monitoring areas.

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Chaudhary, Sachin, and Anjna Chaudhary. "Biologically inspired networking: A solution over the challenges of ordinary networking." International Journal of Advance Research and Innovation 1, no. 3 (2013): 40–44. http://dx.doi.org/10.51976/ijari.131305.

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The steadily growing speed of technological development, computer networks are becoming increasingly complex. At the same time, they must fulfill ever higher requirements in terms of performance, scale, robustness etc. while minimizing their use of resources and adapting to dynamics. The communication between network embedded systems has become a major research domain in the communication network area. Wireless sensor network (WSN) and sensor/actuator network (SANET) build of huge amounts of interacting nodes build the basis for this research. From very long time, nature and biology have inspired new technologies. In computer networking and specifically wireless networks, this field of bio-inspired networking is new and becomes very popular with the emergent of new types of networks with intelligent and autonomous mobiles and/or base stations. Bio Inspired networking has fostered new developments in networking, especially in the most challenging domains such as handling large scale networks, their dynamic nature, resource constraints, heterogeneity, unattended operation, and robustness.

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Chavan, S. V. "Wireless Sensor Network Technology and Networking Algorithms for Wireless Sensor Network Applications: A Survey." International Journal for Research in Applied Science and Engineering Technology 6, no. 1 (January 31, 2018): 662–70. http://dx.doi.org/10.22214/ijraset.2018.1100.

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Zou, Guo Liang, and Jie Ai Han. "Research on Networking with ZigBee Wireless Sensor Network Technology Following the Energy Strategy." Advanced Materials Research 740 (August 2013): 62–67. http://dx.doi.org/10.4028/www.scientific.net/amr.740.62.

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ZigBee is a kind of new wireless sensor technology, this paper introduces wireless network equipments and network topology based on the ZigBee protocol, and then in the perspective of energy management explores the different time interval of different number of nodes to join the network through a coordinator. Proved by NS2 simulation, to set the best time interval at 0.3s can make the network conflicts least in the process of networking and the total time for all devices to complete networking can be reduced by 61.66% at most, thereby reduce the energy consumption in the process of networking and extend lifecycle of the whole network. This has important practical significance to ZigBee-based wireless sensor network application to extend the network life.

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Nimbekar, Rohini Anand. "Wireless Sensor Networking in the Internet of Things." IARJSET 4, no. 2 (February 15, 2017): 124–26. http://dx.doi.org/10.17148/iarjset.2017.4228.

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Wodczak, Michal. "Autonomic cooperative networking for wireless green sensor systems." International Journal of Sensor Networks 10, no. 1/2 (2011): 83. http://dx.doi.org/10.1504/ijsnet.2011.040906.

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Buzura, Sorin, Bogdan Iancu, Vasile Dadarlat, Adrian Peculea, and Emil Cebuc. "Optimizations for Energy Efficiency in Software-Defined Wireless Sensor Networks." Sensors 20, no. 17 (August 24, 2020): 4779. http://dx.doi.org/10.3390/s20174779.

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Software-defined wireless sensor networking (SDWSN) is an emerging networking architecture which is envisioned to become the main enabler for the internet of things (IoT). In this architecture, the sensors plane is managed by a control plane. With this separation, the network management is facilitated, and performance is improved in dynamic environments. One of the main issues a sensor environment is facing is the limited lifetime of network devices influenced by high levels of energy consumption. The current work proposes a system design which aims to improve the energy efficiency in an SDWSN by combining the concepts of content awareness and adaptive data broadcast. The purpose is to increase the sensors’ lifespan by reducing the number of generated data packets in the resource-constrained sensors plane of the network. The system has a distributed management approach, with content awareness being implemented at the individual programmable sensor level and the adaptive data broadcast being performed in the control plane. Several simulations were run on historical weather and the results show a significant decrease in network traffic. Compared to similar work in this area which focuses on improving energy efficiency with complex algorithms for routing, clustering, or caching, the current proposal employs simple computing procedures on each network device with a high impact on the overall network performance.

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Ju, Jin Wu. "Low Power Wireless Sensor Software Design Technology Activated by the Electromagnetic Wave." Applied Mechanics and Materials 644-650 (September 2014): 3686–89. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.3686.

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The wireless sensor module is the thing networking technology first floor technology base, the wireless sensor module uses the battery power supply generally, this requests it to have the low power loss characteristic, requests when generally the work long must amount to for several thousand hours.This article introduced in the wireless sensor module design process, in view of its low power loss request, the technology which uses in the software design.

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Engouang, Tristan Daladier, Liu Yun, and Zhen Jiang Zhang. "Pallier Based Homomorphic Encrypted Data Aggregation in Wireless Sensor Networks." Applied Mechanics and Materials 543-547 (March 2014): 3017–22. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.3017.

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Tiny autonomous embedded electronics (sensor nodes) devices able to communicate through wireless channels are ensuring the emission and reception of data through a communication radio between two sensors grouped by hundreds and thousands within Wireless Sensor Networks (WSNs). These amazing new technology with ongoing research worldwide, are merging networking, systems hardware, systems software and programming methodologies thus enabling applications that previously were not practical. Hence numerical simulations on computers can now visualize the physical world phenomena that could be observed through empirical means, as sensors are deployed in a dedicated environment, to fulfill their aim of sensing for any occurrence of the event of interest. The data sensed by these wireless sensors are now very sensitive, thus need to be fully protected by all means, which is why T. D. Engouang et al., argued that securityand reliability and also durability are mandatory when deploying any sensor nodes or hard device. The Pallier based homomorphic encryption data aggregation is proposed with security measures preserving data integrity and privacy.

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Wang, Xi, and Feifei Li. "Wireless Sensor Networks Suitable for Large-Scale Heterogeneous Networking." International Journal of Online and Biomedical Engineering (iJOE) 15, no. 01 (January 17, 2019): 58. http://dx.doi.org/10.3991/ijoe.v15i01.9779.

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In order to optimize the network architecture, addressing mechanism, heterogeneous nodes and other functions of wireless sensor networks, this study begins with the issue of networking of large-scale heterogeneous networks. A layered distributed network architecture is proposed, which provides a powerful reference for the future architecture of wireless sensor networks. Based on this architecture, the resource addressing of the corresponding hierarchical network, and the scale and location deployment of heterogeneous nodes such as sink nodes are discussed separately, and corresponding strategies and algorithms are proposed. The research results show that the core idea of the addressing mechanism is data-centric, address-oriented addressing is transformed into service-oriented addressing. Therefore, the proposed LBA addressing algorithm is suitable for other hierarchically structured networks. In addition, although the sink node is taken as an example for research, it is also suitable for the deployment of other heterogeneous nodes such as sink nodes, relay nodes, and base stations. In summary, regardless of the number of nodes or the location of the deployment, energy-saving factors need to be considered. Energy-saving is also an indispensable technology in wireless sensor network technology.

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Renushe, Prof Mrs A. H. "Monitoring the Modest Sensory Network Utility Device Watcher." International Journal for Research in Applied Science and Engineering Technology 10, no. 7 (July 31, 2022): 1083–86. http://dx.doi.org/10.22214/ijraset.2022.45426.

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Abstract: The proposed system introduces the android application using modest sensor device. The objective of the system is to develop a system to collect data from sensors, and to transmit this data through wireless network which passes the data to an application. Wireless transmission methods have been investigated, and it was decided that a HTTP GET method would be used. When the information is sent by different sensors it will displayed with the help of machine learning algorithms. Following an exploration of personal area networks (PAN) and mesh networking, a system was implemented to discover physical intrusion. To the end our network employed sensors are connected with motion sensors and accelerometers. Then it communicates with a generic infrastructure, adaptable to future wireless sensor projects, which stores the data in a database and through interfaces monitor the status of the entire system.

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S. Jeba, Shiny. "A review on application of MANET-IoT." i-manager's Journal on Mobile Applications and Technologies 9, no. 1 (2022): 28. http://dx.doi.org/10.26634/jmt.9.1.18922.

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Mobile Ad-hoc Networks (MANETs) will be very important for the Internet of Things (IoT). MANET is a decentralized selforganizing wireless network. Every device in MANET is completely free and can move in any direction. The interaction of the Internet of Things with wireless sensors and Mobile Ad-hoc Networks allows for the development of a new MANET-IoT framework. Innovative MANET-IoT systems are created through the interaction between Wireless Sensor Networks (WSN) and the IoT, which creates numerous design difficulties. Several application domains use MANET-based IoT systems. These systems increase user mobility while reducing costs. At the same time, new complex problems are emerging in the area of networking. This paper analyzes the literature on various MANET-IoT applications using wireless sensor networks (WSNs).

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Hamidi, M., and R. Ameri. "α-Derivable digraphs and its application in wireless sensor networking." Discrete Mathematics, Algorithms and Applications 12, no. 03 (March 23, 2020): 2050030. http://dx.doi.org/10.1142/s1793830920500305.

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This paper considers derivable directed hypergraphs by undirected hypergraphs and generates undirected hypergraphs from directed hypergraphs. It tries to enumerate derivable directed hypergraphs and to find an upper bound for it. We introduce a positive relation on directed hypergraphs and derives digraphs via positive equivalence relation. We consider wireless sensor hypernetworks as directed hypergraphs and by clustering directed hypergraphs and positive equivalence relation obtain wireless sensor networks and show by cluster digraphs.

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Jiang, Yu, Yan Chun Liang, Li Li He, Ying Hui Cao, and Cheng Quan Hu. "WSN Networking Protocol Based on Dynamic Changing Channel." Applied Mechanics and Materials 44-47 (December 2010): 844–48. http://dx.doi.org/10.4028/www.scientific.net/amm.44-47.844.

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Based on the analysis of the wireless sensor networks in the application of the public utilities, a new approach which can change channel dynamically in buildings using wireless sensor networks was designed and implemented. In this paper, the WSN platform supported for AES encryption. And on the basis of the TDMA protocol, using linear regression and BBS generator, a new WSN protocol which has the ability to change communication channel dynamically was designed. Compared with traditional network protocols, the proposed method can decrease the degree of network congestion, energy consumption, program complexity and easy to achieve.

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Udupa, Prathiba, and Siva S. Yellampalli. "Smart home for elder care using wireless sensor." Circuit World 44, no. 2 (May 8, 2018): 69–77. http://dx.doi.org/10.1108/cw-12-2017-0072.

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Purpose The purpose of this paper is to explain, in brief, about smart, intelligent system which actively monitors the wellness of the elderly and will also send necessary alarms to the caretakers or doctors during an emergency because nowadays most of elderly people wish to stay alone independently. It is necessary to monitor their health conditions and activities continuously to prevent occurrence of health problems and also be able to provide medical assistance to them during emergencies. Design/methodology/approach The review paper describes the development of a methodology to monitor elderly continuously with a combination of advanced intelligent sensors, networking technologies and data processing system. Findings This paper identified various sensors used in smart home such as a pressure sensor, temperature sensor, etc., for monitoring elders health and their characteristics and also the cost, model number, etc., of various sensors available in the market. Originality/value This paper contains the comparison of various sensors available in the market that can be used in the smart home and also where we can use those sensors in smart home based on their characteristics.

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Tao, Tao, Zhong Hua Tong, Xiao Zheng, Xuan Gou Wu, and Lin Na Wei. "Depth Analysis of ZigBee Protocol on Wireless Sensor-Actuator Network." Applied Mechanics and Materials 666 (October 2014): 305–11. http://dx.doi.org/10.4028/www.scientific.net/amm.666.305.

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With the development of information technology, research and application of wireless sensor-actuator network is more and more widely. In this paper, the composition of wireless sensor-actuator network is described, the ZigBee protocol which is a wireless networking protocol is analyzed from multiple aspects in the network. Network architecture, protocol stack hierarchy, building network process, data transfer process, task approach based on ZigBee protocol are studied.

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ABIDI, Bahae, Abdelillah JILBAB, and Mohamed EL HAZITI. "Security in wireless sensor networks." International Journal of Informatics and Communication Technology (IJ-ICT) 8, no. 1 (April 1, 2019): 13. http://dx.doi.org/10.11591/ijict.v8i1.pp13-18.

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Even in difficult places to reach, the new networking technique allows the easy deployment of sensor networks, although these wireless sensor networks confront a lot of constraints. The major constraint is related to the quality of information sent by the network. The wireless sensor networks use different methods to achieve data to the base station. Data aggregation is an important one, used by these wireless sensor networks. But this aggregated data can be subject to several types of attacks and provides security is necessary to resist against malicious attacks, secure communication between severely resource constrained sensor nodes while maintaining the flexibility of the topology changes. Recently, several secure data aggregation schemes have been proposed for wireless sensor networks, it provides better security compared with traditional aggregation. In this paper, we try to focus on giving a brief statement of the various approaches used for the purpose of secure data aggregation in wireless sensor networks.

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Karapistoli, Eirini, Ioanna Mampentzidou, and Anastasios A. Economides. "Environmental Monitoring Based on the Wireless Sensor Networking Technology." International Journal of Agricultural and Environmental Information Systems 5, no. 4 (October 2014): 1–39. http://dx.doi.org/10.4018/ijaeis.2014100101.

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This paper investigates real-life environmental monitoring applications based on Wireless Sensor Networks (WSNs). Wireless sensor networking is an emerging technology, which through the research in the labs and the real deployments has proved to be a significant and valuable tool for scientists in their effort to explore various environmental phenomena. During the last decades, this wireless networking technology has been adopted by many scientific fields in order to accurately and effectively monitor climate phenomena such as air pollution, destruction phenomena (i.e., landslides), etc. It has also been widely used in agriculture as well as in horticulture for field monitoring. This paper provides a critical overview of the basic components existing WSN deployments use. It also categorizes these deployments, 111 in total, into five different field categories, namely agricultural monitoring, environmental monitoring, air-water pollution monitoring, monitoring of destruction phenomena, as well as monitoring of livestock, and wild animal, in order to provide a general view of the technologies used, the conditions under which the deployments were conducted, and much more. Then, five easy-to-use guides are provided discussing basic considerations for deploying WSNs in each of these fields. These guides cover various issues, such as sensor node platforms, operating systems (OSs), topologies, installation and maintenance issues, and much more. In order to showcase the usefulness of consulting the resulted guides, this work considers representative application scenarios for each of these field deployments.

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Liu, Ji. "Optimization and Management in Order to Drive Targeted Networking Memory Database." Applied Mechanics and Materials 727-728 (January 2015): 965–68. http://dx.doi.org/10.4028/www.scientific.net/amm.727-728.965.

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In today's vehicle networking system architecture is mainly composed of four parts: sensor networks, wireless communication networks, cloud computing platforms and vehicle terminal. Wireless sensor network is responsible for the front of the real-time collection of traffic information, a wireless communication network to send information to the backend of the cloud computing platform, cloud computing platform to handle a large number of vehicles to collect real-time information from the front, and finally sends the information to the end user. In this thesis, this car networking research background, analyze vehicle networking system architecture consisting of performance indicators for each part of the system recognize cloud platform for large data processing efficiency as well as room for improvement. Then put forward the traditional computing platform I / O disk database with in-memory database to replace the cloud to enhance cloud computing platform for large data processing efficiency.

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Li, Da Yong, and Xue Zeng Zhao. "Research of Wireless Sensor Network Node Based on Vibrating Wire Sensor of Single Coil and Phototube." Advanced Materials Research 186 (January 2011): 156–60. http://dx.doi.org/10.4028/www.scientific.net/amr.186.156.

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The merits of conventional vibrating wire sensor(VWS) used for roof pressure monitoring are introduced, based on photoelectric single coil VWS and ZigBee technique, this paper has designed a wireless sensor network node. In the mean time, this paper has designed the circuits of wireless communication module、the software design approaches of sweeping frequency and networking for wireless sensor network nodes. Compared to traditional vibrating wire sensor used in roof pressure monitoring system, which not only solves the electromagnetic interfere problem in the course of frequencies’ excitation and picking up but also avoids the difficulty when setting up equipments and laying wires.

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Labib, Mostafa Ibrahim, Mohamed ElGazzar, Atef Ghalwash, and Sarah Nabil AbdulKader. "An efficient networking solution for extending and controlling wireless sensor networks using low-energy technologies." PeerJ Computer Science 7 (November 24, 2021): e780. http://dx.doi.org/10.7717/peerj-cs.780.

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Wireless sensor networks connect a set of highly flexible wireless devices with small weight and size. They are used to monitor and control the environment by organizing the acquired data at a central device. Constructing fully connected networks using low power consumption sensors, devices, and protocols is one of the main challenges facing wireless sensor networks, especially in places where it is difficult to establish wireless networks in a normal way, such as military areas, archaeological sites, agricultural districts, construction sites, and so on. This paper proposes an approach for constructing and extending Bi-Directional mesh networks using low power consumption technologies inside various indoors and outdoors architectures called “an adaptable Spider-Mesh topology”. The use of ESP-NOW protocol as a communication technology added an advantage of longer communication distance versus a slight increase of consumed power. It provides 15 times longer distance compared to BLE protocol while consuming only twice as much power. Therefore, according to our theoretical and experimental comparisons, the proposed approach could provide higher network coverage while maintaining an acceptable level of power consumption.

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Naji, Najem, Mohamed Riduan Abid, Nissrine Krami, and Driss Benhaddou. "Energy-Aware Wireless Sensor Networks for Smart Buildings: A Review." Journal of Sensor and Actuator Networks 10, no. 4 (November 26, 2021): 67. http://dx.doi.org/10.3390/jsan10040067.

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The design of Wireless Sensor Networks (WSN) requires the fulfillment of several design requirements. The most important one is optimizing the battery’s lifetime, which is tightly coupled to the sensor lifetime. End-users usually avoid replacing sensors’ batteries, especially in massive deployment scenarios like smart agriculture and smart buildings. To optimize battery lifetime, wireless sensor designers need to delineate and optimize active components at different levels of the sensor’s layered architecture, mainly, (1) the number of data sets being generated and processed at the application layer, (2) the size and the architecture of the operating systems (OS), (3) the networking layers’ protocols, and (4) the architecture of electronic components and duty cycling techniques. This paper reviews the different relevant technologies and investigates how they optimize energy consumption at each layer of the sensor’s architecture, e.g., hardware, operating system, application, and networking layer. This paper aims to make the researcher aware of the various optimization opportunities when designing WSN nodes. To our knowledge, there is no other work in the literature that reviews energy optimization of WSN in the context of Smart Energy-Efficient Buildings (SEEB) and from the formerly four listed perspectives to help in the design and implementation of optimal WSN for SEEB.

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Charalambous, Charalambos, and Shuguang Cui. "A biologically inspired networking model for wireless sensor networks." IEEE Network 24, no. 3 (May 2010): 6–13. http://dx.doi.org/10.1109/mnet.2010.5464221.

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Hashemi, Morteza, Wei Si, Moshe Laifenfeld, David Starobinski, and Ari Trachtenberg. "Intra-car multihop wireless sensor networking: a case study." IEEE Communications Magazine 52, no. 12 (December 2014): 183–91. http://dx.doi.org/10.1109/mcom.2014.6979972.

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Ali Hassan, Muhammad. "Software Defined Networking for Wireless Sensor Networks: A Survey." Advances in Wireless Communications and Networks 3, no. 2 (2017): 10. http://dx.doi.org/10.11648/j.awcn.20170302.11.

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Lin, Chih-Yu, Sherali Zeadally, Tzung-Shi Chen, and Chih-Yung Chang. "Enabling Cyber Physical Systems with Wireless Sensor Networking Technologies." International Journal of Distributed Sensor Networks 8, no. 5 (January 2012): 489794. http://dx.doi.org/10.1155/2012/489794.

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Chen, J. L., X. Wang, Y. W. Ma, Y. F. Lai, and Y. M. Huang. "Time-division secret key protocol for wireless sensor networking." IET Communications 5, no. 12 (August 12, 2011): 1720–26. http://dx.doi.org/10.1049/iet-com.2010.0538.

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Yang, Shusen, Xinyu Yang, Julie A. McCann, Tong Zhang, Guozheng Liu, and Zheng Liu. "Distributed Networking in Autonomic Solar Powered Wireless Sensor Networks." IEEE Journal on Selected Areas in Communications 31, no. 12 (December 2013): 750–61. http://dx.doi.org/10.1109/jsac.2013.sup2.1213007.

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Kim, Byung-Seo, Sung Won Kim, Chi Zhang, and Miao Pan. "A Breakthrough in Multihop Wireless Multimedia Sensor Networking Protocols." International Journal of Distributed Sensor Networks 11, no. 3 (January 2015): 921040. http://dx.doi.org/10.1155/2015/921040.

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Di Marco, Piergiuseppe, and Pangun Park. "Architectures and Protocols for Wireless Sensor and Actuator Networks." Journal of Sensor and Actuator Networks 10, no. 3 (July 30, 2021): 52. http://dx.doi.org/10.3390/jsan10030052.

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Recent advances in wireless networking, sensing, computing, and control are revolutionizing how physical systems interact with information and physical processes such as Cyber-Physical Systems (CPS), Internet of Things (IoT), and Tactile Internet [...]

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Kakoyiannis, Constantine G., and Philip Constantinou. "Compact Printed Arrays with Embedded Coupling Mitigation for Energy-Efficient Wireless Sensor Networking." International Journal of Antennas and Propagation 2010 (2010): 1–18. http://dx.doi.org/10.1155/2010/596291.

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Wireless sensors emerged as narrowband, resource-constrained devices to provide monitoring services over a wide life span. Future applications of sensor networks are multimedia-driven and include sensor mobility. Thus, sensors must combine small size, large bandwidth, and diversity capabilities. Compact arrays, offering transmit/receive diversity, suffer from strong mutual coupling (MC), which causes lower antenna efficiency, loss of bandwidth, and signal correlation. An efficient technique to reduce coupling in compact arrays is described herein: a defect was inserted in the ground plane (GNDP) area between each pair of elements. The defect disturbed the GNDP currents and offered multidecibel coupling suppression, bandwidth recovery, and reduction of in-band correlation. Minimal pattern distortion was estimated. Computational results were supported by measurements. The bandwidth of unloaded arrays degraded gracefully from 38% to 28% with decreasing interelement distance (0.25 to 0.10). Defect-loaded arrays exhibited active impedance bandwidths 37–45%, respectively. Measured coupling was reduced by 15–20 dB.

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Journal articles on the topic 'Wireless sensor networking'

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