Articles de revues : « REMOTE SENSING, WIRELESS SENSOR NETWORKS, GEOMATICS »

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Moosavi, S. M. R., et A. Sadeghi-Niaraki. « A SURVEY OF SMART ELECTRICAL BOARDS IN UBIQUITOUS SENSOR NETWORKS FOR GEOMATICS APPLICATIONS ». ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1-W5 (11 décembre 2015) : 503–7. http://dx.doi.org/10.5194/isprsarchives-xl-1-w5-503-2015.

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Nowadays more advanced sensor networks in various fields are developed. There are lots of online sensors spreading around the world. Sensor networks have been used in Geospatial Information Systems (GIS) since sensor networks have expanded. Health monitoring, environmental monitoring, traffic monitoring, etc, are the examples of its applications in Geomatics. Sensor network is an infrastructure comprised of sensing (measuring), computing, and communication elements that gives an administrator the ability to instrument, observe, and react to events and phenomena in a specified environment. This paper describes about development boards which can be used in sensor networks and their applications in Geomatics and their role in wireless sensor networks and also a comparison between various types of boards. Boards that are discussed in this paper are Arduino, Raspberry Pi, Beagle board, Cubieboard. The Boards because of their great potential are also known as single board computers. This paper is organized in four phases: First, Reviewing on ubiquitous computing and sensor networks. Second, introducing of some electrical boards. Then, defining some criterions for comparison. Finally, comparing the Ubiquitous boards.

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Telbany, Mohammed E. El, et Maha A. Maged. « Wireless sensor networks for extreme environments : remote sensing and space industry ». International Journal of Hybrid Intelligence 1, n^o 1 (2019) : 41. http://dx.doi.org/10.1504/ijhi.2019.099671.

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El Telbany, Mohammed E., et Maha A. Maged. « Wireless sensor networks for extreme environments : remote sensing and space industry ». International Journal of Hybrid Intelligence 1, n^o 1 (2019) : 41. http://dx.doi.org/10.1504/ijhi.2019.10021295.

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Jin, Yong, Zhenjiang Qian, Xiaoshuang Xing et Lu Shen. « Opportunistic Cooperative Sensing for Indoor Complex Environment Monitoring ». International Journal of Online Engineering (iJOE) 13, n^o 08 (4 août 2017) : 4. http://dx.doi.org/10.3991/ijoe.v13i08.6709.

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ensor nodes vulnerable becomes a major bottleneck restricting the wide application of wireless sensor networks WSNs (Wireless Sensor Networks). In order to satisfy the needs of industrial production and daily living environment monitoring, it is important to improve the survivability of wireless sensor networks in environmental monitoring application. In order to have a reliable environment monitoring system, this paper analyzed the damage types and causes of WSNs and the measurement methods of WSNs survivability. Then, we studied the fault detection method and finally realized the design can improve the survivability of the scheme. The robust guarantee scheme through hardware design and algorithm model, realized the remote wireless communication services and prolonged the network life cycle, so as to improve the survivability of the environmental monitoring system.

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Annepu, LEELADHAR. « Cut Detection in Remote Versatile Wireless Sensor Mobile Networks ». International Journal of Advances in Applied Sciences 3, n^o 4 (1 décembre 2014) : 202. http://dx.doi.org/10.11591/ijaas.v3.i4.pp202-205.

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<strong><em>A remote sensor system can get differentiated into different joined segments because of the disappointment of some of its hubs, which is known as a "cut". In this project we consider the issue of catching cuts by the remaining hubs of a remote sensor system. We propose a calculation that permits (i) each hub to recognize when the integration to an exceptionally assigned hub has been lost, and (ii) one or more hubs (that are associated with the uncommon hub after the cut) to discover the event of the cut. The calculation is circulated and non concurrent: each hub needs to correspond with just those hubs that are inside its correspondence range. The calculation is focused around the iterative processing of an imaginary "electrical potential" of the hubs. The union rate of the hidden iterative plan is autonomous of the size and structure of the system. Remote Sensor Networks (Wsns) comprise of a huge number of small hubs having the ability of sensing, calculation, and remote correspondences. Remote sensor system can endure part issue in the system which is known as a cut. So a solitary topology of the system breaks into two or more parts. Here we examine a few slice recognition systems to discover the cuts in WSN.</em></strong>

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Chung, Chiu Chiao, et Wei Shiang Weng. « Remote Access the ZigBee Sensor Network through the IP Network ». Advanced Materials Research 684 (avril 2013) : 539–42. http://dx.doi.org/10.4028/www.scientific.net/amr.684.539.

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With the wireless communication technology and world-wide Internet, living styles have become more and more convenient and smart, especially, for the application of context-aware systems based in wireless sensor networks. Furthermore, mobile devices provide users timely information browsing and mobile data access. In this study, the ZigBee wireless sensor network combined with sensor data observed Services (Sensor data Observation Service), and PostgreSQL database systems is developed to implement a remote access ZigBee wireless sensor network through an IP Internet browser. This system includes: (a) the integration of ZigBee CC2430 sensor sensing light, humidity and temperature; (b) PostgreSQL database tools accessing data; (c) via the sensor data Observation Service (SOS ) technologies; (d) through mobile devices to master the relevant environmental information.

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Ji, Weishuai, et Yaqiu Liu. « Research on Quantitative Evaluation of Remote Sensing and Statistics Based on Wireless Sensors and Farmland Soil Nutrient Variability ». Computational Intelligence and Neuroscience 2022 (19 janvier 2022) : 1–11. http://dx.doi.org/10.1155/2022/3646264.

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The combination of wireless sensor networks and radio technology can form a new type of communication network. The emergence of wireless sensor networks has effectively solved the problems existing in radio technology, but traditional wireless sensor networks and radio technology networks cannot be directly applied to wireless sensors. On this basis, this paper studies the remote sensing of soil nutrient variability in agricultural land using wireless sensors. Due to traditional farmland management and agricultural systems, farmland soil nutrient variability has led to polarization: fertile soil has excess nutrients, reducing the use rate of chemical fertilizers and polluting high-quality farmland. Traditional farming methods can no longer meet the requirements, and modern technology must be used to comprehensively understand the spatiotemporal variability of soil nutrients during plant growth. Remote sensing technology has the advantages of accuracy, speed, economy, and regular monitoring. It provides new ideas and technical guarantees for soil quality evaluation in land development and consolidation projects. This paper also studies the use of statistical quantitative evaluation technology to carry out multidimensional statistical quantification of soil protection function evaluation at a given location. Finally, wireless sensor networks are used to analyze the relationship between several natural factors and quantitative estimation of soil protection. Based on wireless sensor technology, this paper studies the variability of farmland soil nutrients and statistical quantitative evaluation, hoping to lay a foundation for the development of agriculture and statistics.

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Naife Alauthman, Almamoon, Wan Nor Shuhadah Wan Nik et Nor Aida Mahiddin. « Adaptive Sensor Sensing Range to Maximise Lifetime of Wireless Sensor Network ». International journal of Computer Networks & ; Communications 14, n^o 1 (31 janvier 2022) : 71–83. http://dx.doi.org/10.5121/ijcnc.2022.14105.

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Wireless Sensor Network (WSN) is commonly used to collect information from a remote area and one of the most important challenges associated with WSN is to monitor all targets in a given area while maximizing network lifetime. In wireless communication, energy consumption is proportional to the breadth of sensing range and path loss exponent. Hence, the energy consumption of communication can be minimized by varying the sensing range and decreasing the number of messages being sent. Sensing energy can be optimized by reducing the repeated coverage target. In this paper, an Adaptive Sensor Sensing Range (ASSR) technique is proposed to maximize the WSN Lifetime. This work considers a sensor network with an adaptive sensing range that are randomly deployed in the monitoring area. The sensor is adaptive in nature and can be modified in order to save power while achieving maximum time of monitoring to increase the lifetime of WSN network. The objective of ASSR is to find the best sensing range for each sensor to cover all targets in the network, which yields maximize the time of monitoring of all targets and eliminating double sensing for the same target. Experiments were conducted using an NS3 simulator to verify our proposed technique. Results show that ASSR is capable to improve the network lifetime by 20% as compared to other recent techniques in the case of a small network while achieving an 8% improvement for the case of a large networks.

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Shakya, Dr Subarna. « Design of Hybrid Energy Management System for Wireless Sensor Networks in Remote Areas ». Journal of Electrical Engineering and Automation 2, n^o 1 (10 mars 2020) : 13–24. http://dx.doi.org/10.36548/jeea.2020.1.002.

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Energy is an essential parameter for any work to be done. An electric energy is a primary requirement for any wireless transmission system. Transmitting the information from a source to destination requires a continuous and strengthen wireless network connection to avoid interruption from electromagnetic disturbance. Powering such wireless networks can be done by giving direct current through a battery or from direct supply. The challenge comes when the wireless sensor network is fixed in a remote place or designed as a moving system for sensing analysis. Battery sourcing power system will be a better choice for such movable wireless system. The paper proposes a hybrid energy management system for wireless sensor networks (WSNs) connected in remote areas and it analyses the performance of the energy management system in terms of amount of energy can be generated for a battery source.

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Wang, Jun, Xi Liang Zhang, Jin Yuan, Xiao Feng Shi et Xin Ming Gao. « Development of Universal Multi-Function Digital Remote Control Electronic Switch Based on WSN ». Key Engineering Materials 464 (janvier 2011) : 142–45. http://dx.doi.org/10.4028/www.scientific.net/kem.464.142.

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To improve electrical operational flexibility in use and save energy, a universal multi-function digital remote control electronic switch for variety of household appliances is developed by adopting wireless sensor networks and infrared sensing technology. To NRF9E5 wireless microcontroller as the core, electronic switch that formed by the remote control and a number of switch nodes forms short-distance wireless communications network. Remote control is equipped with clock circuit, buttons and LCD display; switch node with infrared sensor, human body detection circuit, relay and control circuit. Switch can be controlled by remote control, human infrared sensor or setting time. The application shows that it greatly increases operational flexibility with easily integrating with various existing electrical switches and has obvious energy saving effect.

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Bala, Tarun, Varsha Bhatia, Sunita Kumawat et Vivek Jaglan. « A survey : issues and challenges in wireless sensor network ». International Journal of Engineering & ; Technology 7, n^o 2.4 (10 mars 2018) : 53. http://dx.doi.org/10.14419/ijet.v7i2.4.10041.

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Wireless Sensor Network (WSN) is powerful and economical key to monitoring and tracking problems. WSN is a perfect unification of sensing, computation and communications tasks. WSN nodes are deployed in both hostile and harsh environment. They lend valuable support for continuous, remote monitoring, and for healthcare applications. WSN nodes can be deployed easily in existing structures without any added infrastructure. In this work, an outline of wireless sensor networks, applications, challenges & issues involved in implementing them is presented.

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Khalifeh, Ala’, Khalid A. Darabkh, Ahmad M. Khasawneh, Issa Alqaisieh, Mohammad Salameh, Ahmed AlAbdala, Shams Alrubaye et al. « Wireless Sensor Networks for Smart Cities : Network Design, Implementation and Performance Evaluation ». Electronics 10, n^o 2 (19 janvier 2021) : 218. http://dx.doi.org/10.3390/electronics10020218.

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The advent of various wireless technologies has paved the way for the realization of new infrastructures and applications for smart cities. Wireless Sensor Networks (WSNs) are one of the most important among these technologies. WSNs are widely used in various applications in our daily lives. Due to their cost effectiveness and rapid deployment, WSNs can be used for securing smart cities by providing remote monitoring and sensing for many critical scenarios including hostile environments, battlefields, or areas subject to natural disasters such as earthquakes, volcano eruptions, and floods or to large-scale accidents such as nuclear plants explosions or chemical plumes. The purpose of this paper is to propose a new framework where WSNs are adopted for remote sensing and monitoring in smart city applications. We propose using Unmanned Aerial Vehicles to act as a data mule to offload the sensor nodes and transfer the monitoring data securely to the remote control center for further analysis and decision making. Furthermore, the paper provides insight about implementation challenges in the realization of the proposed framework. In addition, the paper provides an experimental evaluation of the proposed design in outdoor environments, in the presence of different types of obstacles, common to typical outdoor fields. The experimental evaluation revealed several inconsistencies between the performance metrics advertised in the hardware-specific data-sheets. In particular, we found mismatches between the advertised coverage distance and signal strength with our experimental measurements. Therefore, it is crucial that network designers and developers conduct field tests and device performance assessment before designing and implementing the WSN for application in a real field setting.

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Nikolić, Tatjana, Mile Stojčev, Goran Nikolić et Goran Jovanović. « ENERGY HARVESTING TECHNIQUES IN WIRELESS SENSOR NETWORKS ». Facta Universitatis, Series : Automatic Control and Robotics 17, n^o 2 (28 décembre 2018) : 117. http://dx.doi.org/10.22190/fuacr1802117n.

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Batteries are the main source of energy for low-power electronics such as micro-electro mechanical systems (MEMS), wireless sensor networks, embedded devices for remote sensing and control, etc. With the limited capacity of finite power sources and the need for supplying energy for the lifetime of a system/device there is a requirement for self-powered devices. Using conventional batteries is not always good design solution because batteries require human intervention to replace them (very often in hard-accessible and harsh-environmental conditions). Therefore, acquiring the electrical power, by using an alternative source of energy that is needed to operate these devices is a major concern. The process of extracting energy from the surrounding environment and converting it into consumable electrical energy is known as energy harvesting or power scavenging. The energy harvesting sources can be used to increase the lifetime and capability of the devices by either replacing or augmenting the battery usage. There are various forms of energy that can be scavenged, like solar, mechanical, thermal, and electromagnetic. Nowadays, there is a big interest in the field of research related to energy harvesting. This paper represents a survey for identifying the sources of energy harvesting and describes the basic operation of principles of the most common energy harvester. As first, we present, in short, the conversion principles of single energy source harvesting systems and point to their benefits and limitations in their usage. After that, hybrid structures of energy harvesters which simultaneously combine scavenged power from different ambient sources (solar, thermoelectric, electromagnetic), with aim to support higher load at the output, are considered.

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Algobail, Afnan, Adel Soudani et Saad Alahmadi. « Energy-efficient scheme for target recognition and localization in wireless acoustic sensor networks ». International Journal of Distributed Sensor Networks 15, n^o 11 (novembre 2019) : 155014771989140. http://dx.doi.org/10.1177/1550147719891406.

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The development of wireless acoustic sensor networks has driven the use of acoustic signals for target monitoring. Most monitoring applications require continuous network connectivity and data transfers, which can rapidly exhaust nodes’ energy. Consequently, sensors must collaborate in an adequate architecture to perform target recognition and localization tasks and then to send the results to a remote server with a reduced data volume. The design of an energy-efficient scheme that achieves acoustic target recognition and localization remains an open research problem. Accordingly, this article proposes a low-energy acoustic-based sensing scheme for target recognition and localization to be implemented in a cluster-based sensing approach designed to appropriately balance energy consumption and local processing performed by sensor nodes. A reduced set of low-complexity feature extraction methods in the time domain signal are used in the recognition process. The scheme uses the received energy of the acoustic signals for the target localization. This article details the network architecture, the scheme specification, and its implementation. The results show that the scheme can classify targets with 81.34% accuracy. It requires 3.2 mJ of energy when executed in MICAz, achieving 99% energy savings compared to streaming 3 s of an acoustic signal to a remote server.

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Zou, Xinyu, Linling Li, Hao Du et Longyu Zhou. « Intelligent Sensing and Computing in Wireless Sensor Networks for Multiple Target Tracking ». Journal of Sensors 2022 (15 avril 2022) : 1–11. http://dx.doi.org/10.1155/2022/2870314.

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With sixth generation (6G) communication technologies, target sensing can be finished in milliseconds. The mobile tracking-oriented Internet of Things (MTT-IoT) as a kind of emerging application network can detect sensor nodes and track targets within their sensing ranges cooperatively. Nevertheless, huge data processing and low latency demands put tremendous pressure on the conventional architecture where sensing data is executed in the remote cloud and the short transmission distance of 6G channels presents new challenges into the design of network topology. To cope with the above difficulties, this paper proposes a new resource allocation scheme to perform delicate node scheduling and accurate tracking in multitarget tracking mobile networks. The dynamic tracking problem is formulated as an infinite horizon Markov Decision Process (MDP), where the state space that considers energy consumption, system responding delay, and target important degree is extended. A model-free reinforcement learning is applied to obtain satisfied tracking actions by frequent iterations, in which smart agents interact with the complicated environment directly. The performance of each episode is evaluated by the action-value function in search of the optimal reward. Simulation results demonstrate that the proposed scheme shows excellent tracking performance in terms of energy cost and tracking delay.

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Chandak, Aatish, Arjun Aravind et Nithin Kamath. « Wall-E Surveyor Robot using Wireless Networks ». IAES International Journal of Robotics and Automation (IJRA) 4, n^o 2 (1 juin 2015) : 143. http://dx.doi.org/10.11591/ijra.v4i2.pp143-149.

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The methods for autonomous navigation of a robot in a real world environment is an area of interest for current researchers. Although there have been a variety of models developed, there are problems with regards to the integration of sensors for navigation in an outdoor environment like moving obstacles, sensor and component accuracy. This paper details an attempt to develop an autonomous robot prototype using only ultrasonic sensors for sensing the environment and GPS/ GSM and a digital compass for position and localization. An algorithm for the navigation based on reactive behaviour is presented. Once the robot has navigated to its final location based on remote access by the owner, it surveys the geographical region and uploads the real time images to the owner using an API that is developed for the Raspberry PI’s kernel.

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Alrahhal, Hosam, Razan Jamous, Rabie Ramadan, Abdulaziz M. Alayba et Kusum Yadav. « Utilising Acknowledge for the Trust in Wireless Sensor Networks ». Applied Sciences 12, n^o 4 (16 février 2022) : 2045. http://dx.doi.org/10.3390/app12042045.

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Wireless Sensor Networks (WSNs) are emerging networks that are being utilized in a variety of applications, such as remote sensing images, military, healthcare, and traffic monitoring. Those critical applications require different levels of security; however, due to the limitation of the sensor networks, security is a challenge where traditional algorithms cannot be used. In addition, sensor networks are considered as the core of the Internet of Things (IoT) and smart cities, where security became one of the most significant problems with IoT and smart cities applications. Therefore, this paper proposes a novel and light trust algorithm to satisfy the security requirements of WSNs. It considers sensor nodes’ limitations and cross-layer information for efficient secure routing in WSNs. It proposes a Tow-ACKs Trust (TAT) Routing protocol for secure routing in WSNs. TAT computes the trust values based on direct and indirect observation of the nodes. TAT uses the first-hand and second-hand information from the Data Link and the Transmission Control Protocol layers to modify the trust’s value. The suggested TATs’ protocols performance is compared to BTRM and Peertrust models in terms of malicious detection ratio, accuracy, average path length, and average energy consumption. The proposed algorithm is compared to BTRM and Peertrust models, the most recent algorithms that proved their efficiency in WSNs. The simulation results indicate that TAT is scalable and provides excellent performance over both BTRM and Peertrust models, even when the number of malicious nodes is high.

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Razaque, Abdul, et Khaled Elleithy. « AUTOMATIC ENERGY SAVING (AES) MODELTO BOOST UBIQUITOUS WIRELESS SENSOR NETWORKS (WSNs) ». INTERNATIONAL JOURNAL OF COMPUTERS & ; TECHNOLOGY 10, n^o 5 (23 août 2013) : 1569–79. http://dx.doi.org/10.24297/ijct.v10i5.4144.

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We deploy BT node (sensor) that offers passive and active sensing capability to save energy. BT node works in passive mode for outdoor communication and active for indoor communication. The BT node is supported with novel automatic energy saving (AES) mathematical model to decide either modes. It provides robust and faster communication with less energy consumption. To validate this approach, we use two types of simulations: Test bed simulation is performed to automate the server through mobile phone using AES model. Ns2 simulation is done to simulate the behavior of network with supporting mathematical model. The main objective of this research is to access remotely available several types of servers, laptops, desktops and other static and moving objects. This prototype is initially deployed to control MSCS [13] & [14] from remote place through mobile device. The prototype can further be implemented to handle several objects simultaneously in university and other organizations consuming less energy and resources.

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Manes, Gianfranco, Giovanni Collodi, Rosanna Fusco, Leonardo Gelpi et Antonio Manes. « A Wireless Sensor Network for Precise Volatile Organic Compound Monitoring ». International Journal of Distributed Sensor Networks 8, n^o 4 (1 avril 2012) : 820716. http://dx.doi.org/10.1155/2012/820716.

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A variety of methods have been developed to monitor VOC concentration in hazardous sites. The methods range from calculation to measurement, point measuring to remote sensing. Some are suited for leak detection, others for estimation of the annual emission or both. None of the following available methods comes close to the ideal method. A distributed instrument providing precise monitoring of Volatile Organic Compound (VOC) concentration in a petrochemical plant is described; it consists of a Wireless Sensor Network (WSN) platform whose nodes are equipped with meteorological/climatic sensors and VOC detectors. Internet connectivity is provided in real time at a one-minute sampling rate, thus providing environmental authorities and plant management with an unprecedented tool for immediate warning in case of critical events. The paper describes the WSN platform, detailing various units (gateways, nodes, detectors) and shows the features of scalability and reconfigurability, with minimal intrusiveness or obtrusiveness. Environmental and process data are forwarded to a remote server and made available to the authenticated users through a rich user interface that provides data rendering in various formats and worldwide access to data. A survey of the VOC detector technologies involved is also provided.

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Handcock, Rebecca, Dave Swain, Greg Bishop-Hurley, Kym Patison, Tim Wark, Philip Valencia, Peter Corke et Christopher O’Neill. « Monitoring Animal Behaviour and Environmental Interactions Using Wireless Sensor Networks, GPS Collars and Satellite Remote Sensing ». Sensors 9, n^o 5 (13 mai 2009) : 3586–603. http://dx.doi.org/10.3390/s90503586.

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Zheng, Zeshi, Noah P. Molotch, Carlos A. Oroza, Martha H. Conklin et Roger C. Bales. « Spatial snow water equivalent estimation for mountainous areas using wireless-sensor networks and remote-sensing products ». Remote Sensing of Environment 215 (septembre 2018) : 44–56. http://dx.doi.org/10.1016/j.rse.2018.05.029.

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Khalifeh, Ala’, Husam Abid et Khalid A. Darabkh. « Optimal Cluster Head Positioning Algorithm for Wireless Sensor Networks ». Sensors 20, n^o 13 (3 juillet 2020) : 3719. http://dx.doi.org/10.3390/s20133719.

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Wireless sensor networks (WSNs) are increasingly gaining popularity, especially with the advent of many artificial intelligence (AI) driven applications and expert systems. Such applications require specific relevant sensors’ data to be stored, processed, analyzed, and input to the expert systems. Obviously, sensor nodes (SNs) have limited energy and computation capabilities and are normally deployed remotely over an area of interest (AoI). Therefore, proposing efficient protocols for sensing and sending data is paramount to WSNs operation. Nodes’ clustering is a widely used technique in WSNs, where the sensor nodes are grouped into clusters. Each cluster has a cluster head (CH) that is used to gather captured data of sensor nodes and forward it to a remote sink node for further processing and decision-making. In this paper, an optimization algorithm for adjusting the CH location with respect to the nodes within the cluster is proposed. This algorithm aims at finding the optimal CH location that minimizes the total sum of the nodes’ path-loss incurred within the intra-cluster communication links between the sensor nodes and the CH. Once the optimal CH is identified, the CH moves to the optimal location. This suggestion of CH re-positioning is frequently repeated for new geometric position. Excitingly, the algorithm is extended to consider the inter-cluster communication between CH nodes belonging to different clusters and distributed over a spiral trajectory. These CH nodes form a multi-hop communication link that convey the captured data of the clusters’ nodes to the sink destination node. The performance of the proposed CH positioning algorithm for the single and multi-clusters has been evaluated and compared with other related studies. The results showed the effectiveness of the proposed CH positioning algorithm.

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Preeti Sharma, Preety Sharma and Rakesh Kumar. « Relay Node Based Fault Recovery Technique in IEEE 802.15.4 based WBAN ». International Journal for Modern Trends in Science and Technology 7, n^o 07 (20 février 2022) : 77–80. http://dx.doi.org/10.46501/ijmtst051236.

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Wireless sensor networks comprises of many individual nodes which interconnect to form a system that operates as one. These sensor nodes play the main task of sensing the environmental conditions and maybe control them too. A WBAN consist of portable, miniaturized, and independent sensor nodes for monitoring body function for health, sporting, emergency and entertainment, applications. It provides long term health monitoring of patients under natural physiological states without constraining their normal activities. In body sensor networks it allows communication between implanted devices and remote monitoring.The proposed algorithm reduces the chances the chances of fault in the network. The proposed and existing algorithms are implemented in NS2 and results are analyzed in terms of certain parameters

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Sun, Dejie, Jie Zhang, Shuai Zhang, Xin Li et Hangong Wang. « Human Health Activity Recognition Algorithm in Wireless Sensor Networks Based on Metric Learning ». Computational Intelligence and Neuroscience 2022 (18 avril 2022) : 1–9. http://dx.doi.org/10.1155/2022/4204644.

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Wireless sensor network is an ad hoc network with sensing capability. Usually, a large number of sensor nodes are randomly deployed in an unreachable environment or complex area for data collection and transmission, which can realize the perception and monitoring of the target area or specific objects and transmit the obtained data to the remote end of the system. Human health activity recognition algorithm is a hot topic in the field of computer. Based on the small sample problem and the linear indivisibility of real samples encountered in metric learning, this paper proposes a human activity recognition algorithm for wireless sensor networks. Human activity recognition algorithm for wireless sensor networks uses human activity recognition algorithm to solve the singularity of intraclass divergence matrix, so as to reduce the impact of small sample problem. The algorithm maps two different feature spaces to the high-dimensional linearly separable kernel space through the corresponding kernel function, calculates the distance between samples in the two projected feature subspaces to obtain two distance measurement functions, and finally linearly combines them with weights to obtain the final distance measurement function.

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Kanoun, Olfa, Salvo Marcuccio, Silvia Liberata Ullo et Marco Carminati. « From the Editors of the Special Issue on Wireless Sensor Networks and Remote Sensing for Environmental Applications ». IEEE Aerospace and Electronic Systems Magazine 34, n^o 6 (1 juin 2019) : 3. http://dx.doi.org/10.1109/maes.2019.2905946.

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Kanoun, Olfa, Salvo Marcuccio, Silvia Liberata Ullo et Marco Carminati. « From the Editors of the Special Issue on Wireless Sensor Networks and Remote Sensing for Environmental Applications ». IEEE Aerospace and Electronic Systems Magazine 34, n^o 10 (1 octobre 2019) : 5. http://dx.doi.org/10.1109/maes.2019.2940798.

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Janardhanan, Shankaran, Joan Z. Delalic, Jeffrey Catchmark et Dharanipal Saini. « Development of Biocompatible MEMS Wireless Capacitive Pressure Sensor ». Journal of Microelectronics and Electronic Packaging 2, n^o 4 (1 octobre 2005) : 287–96. http://dx.doi.org/10.4071/1551-4897-2.4.287.

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The objective of this research was to develop a wireless pressure sensor useful for monitoring bladder pressure. The wireless sensor consists of an active capacitive element and an inductor coil. The changes in pressure are related to the changes in the resonant frequency of the internal sensor. The existing pressure sensors have inductors formed on both sides of the substrate. The changes in internal capacitance of these sensors are related to the changes in pressure by impedance matching of the internal LC circuit. The deviation in bladder pressure is an important variable in evaluating the diseased state of the bladder. The inductor designed for this application is a spirally wound inductor fabricated adjacent to the capacitor. The external sensing uses equivalent changes in internal LC. The resonant frequency of the internal sensor is defined by the deformation of the plate, causing the plate to touch the dielectric on the fixed capacitive plate, which is reflected as changes in capacitance(C). The deformation of the plate has been modeled using Finite Element Analysis. The finite element analysis optimizes the dimensions of the design. Remote sensing is achieved through inductive coupling and the changes in pressure are determined. The device is tested for pressures ranging from 0–150 mmHg, bladder pressure. The RF Telemetry system has been modeled using Sonnet. The frequency range is between 100–670 MHz which is in compliance to that specified by Federal Communications Commission (FCC) regulations.

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Singh, Parvinder, et Rajeshwar Singh. « Energy-Efficient QoS-Aware Intelligent Hybrid Clustered Routing Protocol for Wireless Sensor Networks ». Journal of Sensors 2019 (12 décembre 2019) : 1–12. http://dx.doi.org/10.1155/2019/8691878.

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A wireless sensor network consists of numerous low-power microsensor devices that can be deployed in a geographical area for remote sensing, surveillance, control, and monitoring applications. The advancements of wireless devices in terms of user-friendly interface, size, and deployment cost have given rise to many smart applications of wireless sensor networks (WSNs). However, certain issues like energy efficiency, long lifetime, and communication reliability restrict their large scale utilization. In WSNs, the cluster-based routing protocols assist nodes to collect, aggregate, and forward sensed data from event regions towards the sink node through minimum cost links. A clustering method helps to improve data transmission efficiency by dividing the sensor nodes into small groups. However, improper cluster head (CH) selection may affect the network lifetime, average network energy, and other quality of service (QoS) parameters. In this paper, a multiobjective clustering strategy is proposed to optimize the energy consumption, network lifetime, network throughput, and network delay. A fitness function has been formulated for heterogenous and homogenous wireless sensor networks. This fitness function is utilized to select an optimum CH for energy minimization and load balancing of cluster heads. A new hybrid clustered routing protocol is proposed based on fitness function. The simulation results conclude that the proposed protocol achieves better efficiency in increasing the network lifetime by 63%, 26%, and 10% compared with three well-known heterogeneous protocols: DEEC, EDDEEC, and ATEER, respectively. The proposed strategy also attains better network stability than a homogenous LEACH protocol.

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Li, Weiwei, Ting Jiang et Ning Wang. « Compressed Sensing Based on the Characteristic Correlation of ECG in Hybrid Wireless Sensor Network ». International Journal of Distributed Sensor Networks 2015 (2015) : 1–8. http://dx.doi.org/10.1155/2015/325103.

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Hybrid wireless sensor network made up of wireless body area networks (WBANs) and cellular network provides support for telemedicine. In order to facilitate early diagnosis and treatment, WBANs collect and transmit crucial biomedical data to provide a continuous health monitoring by using various biomedical wireless sensors attached on or implanted in the human body. And then, collected signals are sent to a remote data center via cellular network. One of the features of WBAN is that its power consumption and sampling rate should be restricted to a minimum. Compressed sensing (CS) is an emerging signal acquisition/compression methodology which offers a prominent alternative to traditional signal acquisition. It has been proved that the successful recovery rate of multiple measurement vectors (MMV) model is higher than the single measurement vector (SMV) case. In this paper, we propose a simple algorithm of transforming the SMV model into MMV model based on the correlation of electrocardiogram (ECG), such that the MMV model can be used for general ECG signals rather than only several special signals. Experimental results show that its recovery quality is better than some existing CS-based ECG compression algorithms and sufficient for practical use.

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Lakshmi, M. Sri, K. Seshadri Ramana, M. Jahir Pasha, K. Lakshmi, N. Parashuram et M. Bhavsingh. « Minimizing the Localization Error in Wireless Sensor Networks Using Multi-Objective Optimization Techniques ». International Journal on Recent and Innovation Trends in Computing and Communication 10, n^o 2s (31 décembre 2022) : 306–12. http://dx.doi.org/10.17762/ijritcc.v10i2s.5948.

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When it comes to remote sensing applications, wireless sensor networks (WSN) are crucial. Because of their small size, low cost, and ability to communicate with one another, sensors are finding more and more applications in a wide range of wireless technologies. The sensor network is the result of the fusion of microelectronic and electromechanical technologies. Through the localization procedure, the precise location of every network node can be determined. When trying to pinpoint the precise location of a node, a mobility anchor can be used in a helpful method known as mobility-assisted localization. In addition to improving route optimization for location-aware mobile nodes, the mobile anchor can do the same for stationary ones. This system proposes a multi-objective approach to minimizing the distance between the source and target nodes by employing the Dijkstra algorithm while avoiding obstacles. Both the Improved Grasshopper Optimization Algorithm (IGOA) and the Butterfly Optimization Algorithm (BOA) have been incorporated into multi-objective models for obstacle avoidance and route planning. Accuracy in localization is enhanced by the proposed system. Further, it decreases both localization errors and computation time when compared to the existing systems.

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Nguyen, Phuoc Duc, et Lok-won Kim. « Sensor System : A Survey of Sensor Type, Ad Hoc Network Topology and Energy Harvesting Techniques ». Electronics 10, n^o 2 (19 janvier 2021) : 219. http://dx.doi.org/10.3390/electronics10020219.

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People nowadays are entering an era of rapid evolution due to the generation of massive amounts of data. Such information is produced with an enormous contribution from the use of billions of sensing devices equipped with in situ signal processing and communication capabilities which form wireless sensor networks (WSNs). As the number of small devices connected to the Internet is higher than 50 billion, the Internet of Things (IoT) devices focus on sensing accuracy, communication efficiency, and low power consumption because IoT device deployment is mainly for correct information acquisition, remote node accessing, and longer-term operation with lower battery changing requirements. Thus, recently, there have been rich activities for original research in these domains. Various sensors used by processing devices can be heterogeneous or homogeneous. Since the devices are primarily expected to operate independently in an autonomous manner, the abilities of connection, communication, and ambient energy scavenging play significant roles, especially in a large-scale deployment. This paper classifies wireless sensor nodes into two major categories based the types of the sensor array (heterogeneous/homogeneous). It also emphasizes on the utilization of ad hoc networking and energy harvesting mechanisms as a fundamental cornerstone to building a self-governing, sustainable, and perpetually-operated sensor system. We review systems representative of each category and depict trends in system development.

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Velásquez, David, Alejandro Sánchez, Sebastián Sarmiento, Camilo Velásquez, Mauricio Toro, Edwin Montoya, Helmuth Trefftz, Mikel Maiza et Basilio Sierra. « A Cyber-Physical Data Collection System Integrating Remote Sensing and Wireless Sensor Networks for Coffee Leaf Rust Diagnosis ». Sensors 21, n^o 16 (13 août 2021) : 5474. http://dx.doi.org/10.3390/s21165474.

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Coffee Leaf Rust (CLR) is a fungal epidemic disease that has been affecting coffee trees around the world since the 1980s. The early diagnosis of CLR would contribute strategically to minimize the impact on the crops and, therefore, protect the farmers’ profitability. In this research, a cyber-physical data-collection system was developed, by integrating Remote Sensing and Wireless Sensor Networks, to gather data, during the development of the CLR, on a test bench coffee-crop. The system is capable of automatically collecting, structuring, and locally and remotely storing reliable multi-type data from different field sensors, Red-Green-Blue (RGB) and multi-spectral cameras (RE and RGN). In addition, a data-visualization dashboard was implemented to monitor the data-collection routines in real-time. The operation of the data collection system allowed to create a three-month size dataset that can be used to train CLR diagnosis machine learning models. This result validates that the designed system can collect, store, and transfer reliable data of a test bench coffee-crop towards CLR diagnosis.

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Li, Wei, Muhammad Awais, Weimin Ru, Weidong Shi, Muhammad Ajmal, Saad Uddin et Chenchen Liu. « Review of Sensor Network-Based Irrigation Systems Using IoT and Remote Sensing ». Advances in Meteorology 2020 (7 septembre 2020) : 1–14. http://dx.doi.org/10.1155/2020/8396164.

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The motivation for this review paper came from the developing countries where the economy is mostly dependent on agriculture and climate conditions. Based on current conditions and historical records, profitability in production farming depends on making a right and timely operational decision. Precision farming is a systematic program designed to maximize the productivity of agriculture by carefully tailoring the soil and crop management to meet the specific requirements in each field while preserving environmental quality. This review paper highlights the development of an automated irrigation system with portable wireless sensor networks and decision support methods to remotely measure the environmental parameters in an agriculture field. Radio satellite, mobile phones, sensors, internet-based communication, and microcontroller capture the ecological parameters such as soil moisture, temperature, humidity, and light intensity. The knowledge gained from the sensors is transferred directly to the cloud server by using IoT technology. Users from anywhere in the world can display them through an internet-enabled device. Development of sensor-based application in modern agriculture makes it cost-effective and potentially productive and increases the efficiency through precision agriculture farming. Different limitations have been reported in the previously reviewed publications like the shortage of power in the field that can be solved by using a solar panel that recharges the battery at the same time using electricity. Bluetooth application in the agriculture sector is mainly improved by design system optimization. Problems related to transmission and radio range frequency can be solved by using a power class upgraded antenna.

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Dou, Baocheng, Jianguang Wen, Xiuhong Li, Qiang Liu, Jingjing Peng, Qing Xiao, Zhigang Zhang et al. « Wireless Sensor Network of Typical Land Surface Parameters and Its Preliminary Applications for Coarse-Resolution Remote Sensing Pixel ». International Journal of Distributed Sensor Networks 12, n^o 4 (janvier 2016) : 9639021. http://dx.doi.org/10.1155/2016/9639021.

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Xie, Rui, et Haihong Xiao. « Performance Analysis of Signal Denoising and Remote Sensing Image Denoising in Photoelectric Wireless Sensor Networks Based on Matched Wavelet ». Journal of Nanoelectronics and Optoelectronics 13, n^o 12 (12 décembre 2018) : 1863–73. http://dx.doi.org/10.1166/jno.2018.2503.

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Meharouech, Amira, Jocelyne Elias et Ahmed Mehaoua. « Moving Towards Body-to-Body Sensor Networks for Ubiquitous Applications : A Survey ». Journal of Sensor and Actuator Networks 8, n^o 2 (10 mai 2019) : 27. http://dx.doi.org/10.3390/jsan8020027.

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Thanks to their arising abilities to influence the human lifestyle, along with reducing the healthcare systems’ cost, wireless body area networks (WBANs) still form a strongly growing research field. Recent advances focus on the opportunities of coexistence and communication between a group of WBANs, that will forward the sensing data, using persons as network relays, until reaching a remote analysis server or cloud servers via the Internet, forming thus a body-to-body network (BBN). Such new-style networks support a range of innovative and promising applications, including ubiquitous healthcare (U-health), interactive games, and military, to cite a few. In this paper, we first present the evolution of the single WBAN concept to the cooperative network of multiple WBANs, giving rise to the BBN concept. A synopsis of the WBAN and BBN respective standards and applications is given, and the emerging BBN challenges are highlighted. Then, we present and discuss the existing WBAN proposals, especially the candidate WBAN protocols that could be adapted and used in BBNs, focusing on four intrinsically related axes of great importance for BBN design: energy efficiency, mobility prediction, quality of service (QoS) and security. Further BBN open issues are also investigated, namely, the wireless propagation between humans carrying wearable devices, the interference, storage and privacy issues as well as the heterogeneity of BBN devices and traffic.

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Mauri, Pedro V., Lorena Parra, David Mostaza-Colado, Laura Garcia, Jaime Lloret et Jose F. Marin. « The Combined Use of Remote Sensing and Wireless Sensor Network to Estimate Soil Moisture in Golf Course ». Applied Sciences 11, n^o 24 (10 décembre 2021) : 11769. http://dx.doi.org/10.3390/app112411769.

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In gardening, particularly in golf courses, soil moisture management is critical for maximizing water efficiency. Remote sensing has been used to estimate soil moisture in recent years with relatively low accuracies. In this paper, we aim to use remote sensing and wireless sensor networks to generate soil moisture indexes for a golf course. In the golf course, we identified three types of soil, and data was gathered for three months. Mathematical models were obtained using data from Sentinel-2, bands with a resolution of 10 and 20 m, and sensed soil moisture. Models with acceptable accuracy were obtained only for one out of three soil types, the natural soil in which natural vegetation is grown. Two multiple regression models are presented with an R2 of 0.46 for bands at 10 m and 0.70 for bands at 20 m. Their mean absolute error was lower than 3% in both cases. For the modified soils, the greens, and the golf course fairway, it was not feasible to obtain regression models due to the temporal uniformity of the grass and the range of variation of soil moisture. The developed moisture indexes were compared with existing options. The attained accuracies improve the current models. The verification indicates that the model generated with band 4 and band 12 is the one with better accuracy.

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Chen, Xiyuan, Loic Maxwell, Franklin Li, Amrita Kumar, Elliot Ransom, Tanay Topac, Sera Lee, Mohammad Faisal Haider, Sameh Dardona et Fu-Kuo Chang. « Design and Integration of a Wireless Stretchable Multimodal Sensor Network in a Composite Wing ». Sensors 20, n^o 9 (29 avril 2020) : 2528. http://dx.doi.org/10.3390/s20092528.

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This article presents the development of a stretchable sensor network with high signal-to-noise ratio and measurement accuracy for real-time distributed sensing and remote monitoring. The described sensor network was designed as an island-and-serpentine type network comprising a grid of sensor “islands” connected by interconnecting “serpentines.” A novel high-yield manufacturing process was developed to fabricate networks on recyclable 4-inch wafers at a low cost. The resulting stretched sensor network has 17 distributed and functionalized sensing nodes with low tolerance and high resolution. The sensor network includes Piezoelectric (PZT), Strain Gauge (SG), and Resistive Temperature Detector (RTD) sensors. The design and development of a flexible frame with signal conditioning, data acquisition, and wireless data transmission electronics for the stretchable sensor network are also presented. The primary purpose of the frame subsystem is to convert sensor signals into meaningful data, which are displayed in real-time for an end-user to view and analyze. The challenges and demonstrated successes in developing this new system are demonstrated, including (a) developing separate signal conditioning circuitry and components for all three sensor types (b) enabling simultaneous sampling for PZT sensors for impact detection and (c) configuration of firmware/software for correct system operation. The network was expanded with an in-house developed automated stretch machine to expand it to cover the desired area. The released and stretched network was laminated into an aerospace composite wing with edge-mount electronics for signal conditioning, processing, power, and wireless communication.

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Al-Samahi, Sanaa S., Huda Ansaf et Bahaa I. K. Ansaf. « An Efficient Distributed Elliptic Positioning for Underground Remote Sensing ». Electronics 10, n^o 16 (21 août 2021) : 2025. http://dx.doi.org/10.3390/electronics10162025.

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Remote surveying of unknown bound geometries, such as the mapping of underground water supplies and tunnels, remains a challenging task. The obstacles and absorption in media make the long-distance telecommunication and localization process inefficient due to mobile sensors’ power limitations. This work develops a new short-range sequential localization approach to reduce the required amount of signal transmission power. The developed algorithm is based on a sequential localization process that can utilize a multitude of randomly distributed wireless sensors while only employing several anchors in the process. Time delay elliptic and frequency range techniques are employed in developing the proposed algebraic closed-form solution. The proposed method is highly effective as it reaches the Cramer–Rao Lower Bound performance level. The estimated positions can act as initializations for the iterative Maximum Likelihood Estimator (MLE) via the Taylor series linearization to acquire even higher positioning accuracy as needed. By reducing the need for high power at the transmit modules in the sensors, the developed localization approach can be used to design a compact sensor with low power consumption and greater longevity that can be utilized to explore unknown bounded geometries for life-long efficient observation mapping.

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Obira, J. O., et R. Sinde. « Development of a Sensor-Based Heartbeat and Body Temperature Monitoring System for Remote Chronic Patients ». Engineering, Technology & ; Applied Science Research 11, n^o 4 (21 août 2021) : 7375–80. http://dx.doi.org/10.48084/etasr.4216.

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The growing number of chronic diseases have stretched the healthcare sector. Globally, more than 36 million deaths per year are attributed to chronic disease complications. This has increased the demand for telemedicine in managing chronic patients as they must be on continuous monitoring for a long time. The involvement of wireless sensor networks and cloud computing technology in the health sector is increasing due to the potential it possesses in remote sensing and monitoring applications. This paper presents a developed system prototype for monitoring the heartbeat rate and body temperature of chronic patients using sensors. The monitored data are sent to a cloud database in real-time via an internet connection using the ESP8266 wireless module. The approach involves connecting a heart pulse sensor, an MLX90614 contactless temperature sensor, and the ESP8266 module to the Arduino development board. The goal of this work is to create a system that interfaces chronic patients and medical personnel in an attempt to avert the effects of insufficient health facilities, especially in rural Africa. The patient’s data in the cloud database can also be retrieved by medical personnel anytime in order to track the patient’s conditions and to advise the patient accordingly. The sensed heartbeat and body temperature readings were processed, sent, and recorded in the cloud database effectively.

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Tagarakis, Aristotelis C., Dimitrios Kateris, Remigio Berruto et Dionysis Bochtis. « Low-Cost Wireless Sensing System for Precision Agriculture Applications in Orchards ». Applied Sciences 11, n^o 13 (24 juin 2021) : 5858. http://dx.doi.org/10.3390/app11135858.

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Wireless sensor networks (WSNs) can be reliable tools in agricultural management. In this work, a low cost, low power consumption, and simple wireless sensing system dedicated for agricultural environments is presented. The system is applicable to small to medium sized fields, located anywhere with cellular network coverage, even in isolated rural areas. The novelty of the developed system lies in the fact that it uses a dummy device as Coordinator which through simple but advanced programming can receive, process, and send data packets from all End-nodes to the cloud via a 4G cellular network. Furthermore, it is energy independent, using solar energy harvesting panels, making it feasible to operate in remote, isolated fields. A star topology was followed for the sake of simplification, low energy demands and increased network reliability. The developed system was tested and evaluated in laboratory and real field environment with satisfactory operation in terms of independence, and operational reliability concerning packet losses, communication range (>250 m covering fields up to 36 ha), energy autonomy, and uninterrupted operation. The network can support up to seven nodes in a 30 min data acquisition cycle. These results confirmed the potential of this system to serve as a viable option for monitoring environmental, soil, and crop parameters.

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Lin, Shipeng, Jiming Fang, Tianchen Ye, Yan Tao, Shengshun Duan et Jun Wu. « A Passive, Skin-Attachable Multi-Sensing Patch Based on Semi-Liquid Alloy Ni-GaIn for Wireless Epidermal Signal Monitoring and Body Motion Capturing ». Electronics 10, n^o 22 (13 novembre 2021) : 2778. http://dx.doi.org/10.3390/electronics10222778.

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Wearable integrated systems that rely on liquid metal commonly require an extremely complicated, high-cost fabrication process, while lacking multiple sensing functions without conductive wires connected to external electronic systems. A multi-sensing wearable patch independent from sophisticated manufacturing method and excessive use of wires has yet to be developed. Herein, we introduce a wireless, battery-free, and skin-attachable patch with multiple sensing capacities, utilizing a low-budget, less time-consuming and design-customizable fabrication method. In an effort to achieve our goal, the general sensing system architecture is promoted, which consists of a semi-liquid alloy Ni-GaIn based strain sensor and a co-designed near-field-communication (NFC) tag integrating thermistor, photoresistor, as well as sensor interface circuits, enabling energy-autonomous power supply and wireless data transmission. In human volunteers, the patch was mounted on the skin surface to demonstrate real-time temperature and light intensity signal monitoring. Further evaluation of body motion capturing involved finger bending and swallowing, demonstrating the feasibility of practical applications in different scenarios. Continuous and simultaneous multi-type signal sensing using the wearable patch should enrich the dimensions of measurements of body response to daily activities, unveiling the potential for remote human health monitoring, advanced human–machine interfaces, and other applications of interest.

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Durairaj, M., et K. Muthuramalingam. « A New Authentication Scheme with Elliptical Curve Cryptography for Internet of Things (IoT) Environments ». International Journal of Engineering & ; Technology 7, n^o 2.26 (7 mai 2018) : 119. http://dx.doi.org/10.14419/ijet.v7i2.26.14364.

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Internet of Things (IoT) consists of a large number of connected objects that are communicating with each other. To support trusted communication between IoT objects, the authentication procedures should be used and applied to the communicating entities. Internet of Things (IoT) is an emerging technology, which makes the remote sensing and control across the heterogeneous network a reality, and has good prospects in industrial applications. As an essential infrastructure, Wireless Sensor Networks (WSNs) play a crucial role in industrial IoT. Due to the resource-constrained feature of sensor nodes, the design of security and efficiency balanced authentication scheme for WSNs becomes a significant challenge in IoT applications. In this paper, an anonymous authentication scheme for WSNs in an Internet of Things environments.

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Recalde, Celso, Denys López, Diana Aguay et Víctor J. García. « Environmental Sensing in High-Altitude Mountain Ecosystems Powered by Sedimentary Microbial Fuel Cells ». Sensors 23, n^o 4 (13 février 2023) : 2101. http://dx.doi.org/10.3390/s23042101.

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The increasing need for fresh water in a climate change scenario requires remote monitoring of water bodies in high-altitude mountain areas. This study aimed to explore the feasibility of SMFC operation in the presence of low dissolved oxygen concentrations for remote, on-site monitoring of physical environmental parameters in high-altitude mountainous areas. The implemented power management system (PMS) uses a reference SMFC (SMFCRef) to implement a quasi-maximum power point tracking (quasi-MPPT) algorithm to harvest energy stably. As a result, while transmitting in a point-to-point wireless sensor network topology, the system achieves an overall efficiency of 59.6%. Furthermore, the control mechanisms prevent energy waste and maintain a stable voltage despite the microbial fuel cell (MFC)’s high impedance, low time response, and low energy production. Moreover, our system enables a fundamental understanding of environmental systems and their resilience of adaptation strategies by being a low-cost, ecological, and environmentally friendly alternative to power-distributed and dynamic environmental sensing networks in high-altitude mountain ecosystems with anoxic environmental conditions.

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Mishra, Amitabh, et Dharma P. Agrawal. « Evaluation of Suitability of Current Industrial Standards in Designing Control Applications for Internet of Things Healthcare Sensor Networks ». Journal of Sensor and Actuator Networks 8, n^o 4 (28 novembre 2019) : 54. http://dx.doi.org/10.3390/jsan8040054.

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Internet of Things (IoT) holds great promises for industrial, commercial, and consumer applications. While wireless techniques have matured with time and have gained the users’ confidence in relaying data containing qualitative as well as quantitative information, cynicism still exists on trusting them for applications involving control. The wireless protocols and techniques used for industrial control have proved their robustness. In this work we have attempted to test some aspects of feasibility on the use of wireless control involving such protocols for IoT healthcare sensor networks (IoT-HSNs). We conceptualized and simulated a 24-channel IoT-HSN model that includes biosensors as well as bioactuators. Currently, no protocol supporting control in such networks has been standardized. We tried to fit in the widely used WirelessHART (Highway Addressable Remote Transducer) industrial protocol for sensing as well as control in the model to test if it would work for a healthcare sensor network. We probed the performance of the model with respect to network parameters such as channels, bandwidth, Quality of Service (QoS) requirements, payload, transmission delays, and allowable errors. For the parameters considered, the results obtained from the model were encouraging, suggesting that WirelessHART fits the IoT-HSN control requirements according to this initial probe. The findings could provide useful insights for researchers working in the field of control in IoT-HSNs and for designers and manufacturers of IoT-HSN equipment.

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Szymczyk, Magdalena, et Piotr Augustyniak. « Selected Energy Consumption Aspects of Sensor Data Transmission in Distributed Multi-Microcontroller Embedded Systems ». Electronics 11, n^o 6 (8 mars 2022) : 848. http://dx.doi.org/10.3390/electronics11060848.

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Wireless network devices are currently a hot topic in research related to human health, control systems, smart homes, and the Internet of Things (IoT). In the shadow of the coronavirus pandemic, they have gained even more attention. This remote and contactless distributed sensing technology enabled monitoring of vital signs in real-time. Many of the devices are battery powered, so appropriate management of available energy is crucial for lengthening autonomous operation time without affecting weight, size, maintenance requirement, and user acceptance. In this paper, we discuss energy consumption aspects of sensor data transmission using wireless Bluetooth Low Energy Mesh Long Range (BLE-M-LR) technology. Papers in the field of energy savings in wireless networks do not directly address the problem of the dependence of the energy needed for transmission on the type and degree of data preprocessing, which is the novelty and uniqueness of this work. We built and studied a prototype system designed to work as a multimodal sensing node in a compound IoT application targeted to assisted living. To analyze multiple energy-related aspects, we tested it in various operation and data transmission modes: continuous, periodic, and event-based. We also implemented and tested two alternative sensor-side processing procedures: deterministic data stream reduction and neural network-based recognition and labeling of the states. Our results reveal that event-based or periodic operation allows the node for years-long operating, and the sensor-side processing may degrade the power economy more than it benefits from savings made on transmission of concise data.

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Michailidis, Emmanouel T., Stelios M. Potirakis et Athanasios G. Kanatas. « AI-Inspired Non-Terrestrial Networks for IIoT : Review on Enabling Technologies and Applications ». IoT 1, n^o 1 (31 juillet 2020) : 21–48. http://dx.doi.org/10.3390/iot1010003.

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During the last few years, various Industrial Internet of Things (IIoT) applications have emerged with numerous network elements interconnected using wired and wireless communication technologies and equipped with strategically placed sensors and actuators. This paper justifies why non-terrestrial networks (NTNs) will bring the IIoT vision closer to reality by providing improved data acquisition and massive connectivity to sensor fields in large and remote areas. NTNs are engineered to utilize satellites, airships, and aircrafts, which can be employed to extend the radio coverage and provide remote monitoring and sensing services. Additionally, this paper describes indicative delay-tolerant massive IIoT and delay-sensitive mission-critical IIoT applications spanning a large number of vertical markets with diverse and stringent requirements. As the heterogeneous nature of NTNs and the complex and dynamic communications scenarios lead to uncertainty and a high degree of variability, conventional wireless communication technologies cannot sufficiently support ultra-reliable and low-latency communications (URLLC) and offer ubiquitous and uninterrupted interconnectivity. In this regard, this paper sheds light on the potential role of artificial intelligence (AI) techniques, including machine learning (ML) and deep learning (DL), in the provision of challenging NTN-based IIoT services and provides a thorough review of the relevant research works. By adding intelligence and facilitating the decision-making and prediction procedures, the NTNs can effectively adapt to their surrounding environment, thus enhancing the performance of various metrics with significantly lower complexity compared to typical optimization methods.

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Armenta-Medina, Dagoberto, Tania A. Ramirez-delReal, Daniel Villanueva-Vásquez et Cristian Mejia-Aguirre. « Trends on Advanced Information and Communication Technologies for Improving Agricultural Productivities : A Bibliometric Analysis ». Agronomy 10, n^o 12 (18 décembre 2020) : 1989. http://dx.doi.org/10.3390/agronomy10121989.

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In this work, an exhaustive revision is given of the literature associated with advanced information and communication technologies in agriculture within a window of 25 years using bibliometric tools enabled to detect of the main actors, structure, and dynamics in the scientific papers. The main findings are a trend of growth in the dynamics of publications associated with advanced information and communication technologies in agriculture productivity. Another assertion is that countries, like the USA, China, and Brazil, stand out in many publications due to allocating more resources to research, development, and agricultural productivity. In addition, the collaboration networks between countries are frequently in regions with closer cultural and idiomatic ties; additionally, terms’ occurrence are obtained with Louvain algorithm predominating four clusters: precision agriculture, smart agriculture, remote sensing, and climate smart agriculture. Finally, the thematic-map characterization with Callon’s density and centrality is applied in three periods. The first period of thematic analysis shows a transition in detecting the variability of a nutrient, such as nitrogen, through the help of immature georeferenced techniques, towards greater remote sensing involvement. In the transition from the second to the third stage, the maturation of technologies, such as unmanned aerial vehicles, wireless sensor networks, and the machine learning area, is observed.

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Shafi, Uferah, Rafia Mumtaz, José García-Nieto, Syed Ali Hassan, Syed Ali Raza Zaidi et Naveed Iqbal. « Precision Agriculture Techniques and Practices : From Considerations to Applications ». Sensors 19, n^o 17 (2 septembre 2019) : 3796. http://dx.doi.org/10.3390/s19173796.

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Internet of Things (IoT)-based automation of agricultural events can change the agriculture sector from being static and manual to dynamic and smart, leading to enhanced production with reduced human efforts. Precision Agriculture (PA) along with Wireless Sensor Network (WSN) are the main drivers of automation in the agriculture domain. PA uses specific sensors and software to ensure that the crops receive exactly what they need to optimize productivity and sustainability. PA includes retrieving real data about the conditions of soil, crops and weather from the sensors deployed in the fields. High-resolution images of crops are obtained from satellite or air-borne platforms (manned or unmanned), which are further processed to extract information used to provide future decisions. In this paper, a review of near and remote sensor networks in the agriculture domain is presented along with several considerations and challenges. This survey includes wireless communication technologies, sensors, and wireless nodes used to assess the environmental behaviour, the platforms used to obtain spectral images of crops, the common vegetation indices used to analyse spectral images and applications of WSN in agriculture. As a proof of concept, we present a case study showing how WSN-based PA system can be implemented. We propose an IoT-based smart solution for crop health monitoring, which is comprised of two modules. The first module is a wireless sensor network-based system to monitor real-time crop health status. The second module uses a low altitude remote sensing platform to obtain multi-spectral imagery, which is further processed to classify healthy and unhealthy crops. We also highlight the results obtained using a case study and list the challenges and future directions based on our work.

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Ragnoli, Mattia, Alfiero Leoni, Gianluca Barile, Giuseppe Ferri et Vincenzo Stornelli. « LoRa-Based Wireless Sensors Network for Rockfall and Landslide Monitoring : A Case Study in Pantelleria Island with Portable LoRaWAN Access ». Journal of Low Power Electronics and Applications 12, n^o 3 (7 septembre 2022) : 47. http://dx.doi.org/10.3390/jlpea12030047.

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Rockfalls and landslides are hazards triggered from geomorphological and climatic factors other than human interaction. The economic and social impacts are not negligible, therefore the topic has become an important field in the application of remote monitoring. Wireless sensor networks (WSNs) are particularly suited for the deployment of such systems, thanks to the different technologies and topologies that are evolving nowadays. Among these, LoRa modulation technique represents a fitting technical solution for nodes communication in a WSN. In this paper, a smart autonomous LoRa-based rockfall and landslide monitoring system is presented. The structure has been operating in Pantelleria Island, Sicily, Italy. The sensing elements are disposed in sensor nodes arranged in a star topology. Network access to the LoRaWAN and the Internet is provided through gateways using a portable, solar powered device assembly. A system overview concerning both hardware and functionality of the nodes and gateways devices, then a power analysis is reported, and a monthly recorded result is presented, with related discussion.

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Articles de revues sur le sujet « REMOTE SENSING, WIRELESS SENSOR NETWORKS, GEOMATICS »

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