Relevant bibliographies by topics / Wireless Sensor Network

Academic literature on the topic 'Wireless Sensor Network'

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Published: 4 June 2021
Last updated: 8 June 2024

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Journal articles on the topic "Wireless Sensor Network"

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Chen, Bowen. "Wireless Communication Chip Designs: analysis of the Wireless Integrated Network Sensors." Highlights in Science, Engineering and Technology 70 (November 15, 2023): 580–87. http://dx.doi.org/10.54097/hset.v70i.13989.

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With the development of wireless technology, wireless integrated network sensor is a new form of sensor network. It enables highly efficient data acquisition and transmission by connecting the sensor nodes wirelessly. The purpose of this study is to investigate the basic principles and techniques of wireless integrated network sensors, analyze their application fields, and conduct experimental studies to verify their performance. This study first introduces the basic principles of wireless integrated network sensors, including wireless communication, sensor nodes, and network topology. Then, related technologies, including energy management, routing protocols and network security, are studied to improve the performance and stability of wireless integrated network sensors. Wireless integrated network sensors have wide application prospects in environmental monitoring, intelligent transportation and agriculture. Meanwhile, the energy utilization efficiency and network stability of the sensor network can be improved by adopting the new energy management mechanism and routing protocol. This study reveals the potential and value in practical applications through the exploration and research of wireless integrated network sensors. In future studies, the energy management and routing mechanisms of sensor networks can be further optimized to improve their performance and reliability. In addition, more application scenarios suitable for wireless integrated network sensors can be explored to provide solutions for practical problems.
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S, Rakshana. "Wireless Sensor Network." International Journal of Research Publication and Reviews 4, no. 4 (April 8, 2023): 1729–31. http://dx.doi.org/10.55248/gengpi.2023.4.4.35444.

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Chan, Tung Jung, Ching Mu Chen, and Tsair Rong Chen. "A Forwarding Station Integrated with Optimal Cluster Number Selection in Wireless Sensor Networks." Applied Mechanics and Materials 201-202 (October 2012): 745–48. http://dx.doi.org/10.4028/www.scientific.net/amm.201-202.745.

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In wireless sensor networks, power consumption is the most important issue. That is wireless sensors are normally deployed into unattended places where power of sensors is hard to be charged. Indeed, the network lifetime of wireless sensor networks equipped with city power or deployed into attended place is much longer than those wireless sensors equipped with batteries. In general, wireless sensor nodes are connected together and become a network after deployed into certain places. With the certain range places that wireless senor nodes deployed into, finding the optimal clusters can increase the entire network lifetime. Also, adding the forwarding station extends the network lifetime. Therefore, this paper proposes the integration of both the forwarding station and optimal clusters in ad-hoc wireless sensor networks. Simulation results show that the entire network lifetime proposed is extended in this paper compared to both optimal cluster number selection and normal forwarding station.
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Ahmed, Ayam Tawfeek, Ahmed Noori Rashid, and Khalid Shaker. "Localization in Wireless Sensor Network." Webology 19, no. 1 (January 20, 2022): 692–704. http://dx.doi.org/10.14704/web/v19i1/web19049.

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The major problems in a Wireless Sensor Networks (WSNs) is the localization problem, that relates to how an area covers by the sensor nodes. In this study, the problem formulates as the decision problem, that takes the best location for all sensors in the sensor field. Butterfly Optimization Algorithm (BOA), proposes to calculate the estimate locations for all sensors. Simulating the BOA with using number of sensors from 25 to 150 sensors and number of the anchor nodes. The distance between sensors and anchors measures by Received Signal Strength (RSS) so, this strategy is known as RSS-BOA. The obtained results shed that, the performance of the proposed algorithm is more accurate in comparing with BOA approach in the term sensor's location and the average error.
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THATIPAMULA RAJU, THATIPAMULA RAJU, and D. DEEPIKA RANI D. DEEPIKA RANI. "Achieving Network Level Privacy in Wireless Sensor Networks." International Journal of Scientific Research 2, no. 8 (June 1, 2012): 183–87. http://dx.doi.org/10.15373/22778179/aug2013/61.

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Samara, Ghassan, Mohammad Hassan, and Yahya Zayed. "An Intelligent Vice Cluster Head Election Protocol in WSN." International Journal of Advances in Soft Computing and its Applications 13, no. 3 (November 28, 2021): 202–22. http://dx.doi.org/10.15849/ijasca.211128.14.

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Wireless sensor networks (WSNs) has a practical ability to link a set of sensors to build a wireless network that can be accessed remotely; this technology has become increasingly popular in recent years. Wi-Fi-enabled sensor networks (WSNs) are used to gather information from the environment in which the network operates. Many obstacles prevent wireless sensor networks from being used in a wide range of fields. This includes maintaining network stability and extending network life. In a wireless network, sensors are the most essential component. Sensors are powered by a battery that has a finite amount of power. The battery is prone to power loss, and the sensor is therefore rendered inoperative as a result. In addition, the growing number of sensor nodes off-site affects the network's stability. The transmission and reception of information between the sensors and the base consumes the most energy in the sensor. An Intelligent Vice Cluster Head Selection Protocol is proposed in this study (IVC LEACH). In order to achieve the best performance with the least amount of energy consumption, the proposed hierarchical protocol relies on a fuzzy logic algorithm using four parameters to calculate the value of each node in the network and divides them into three hierarchical levels based on their value. This improves network efficiency and reliability while extending network life by 50 percent more than the original Low Energy Adaptive Clustering Hierarchy protocol. Keywords: Wireless Sensor Networks, Sensors, Communication Protocol, Fuzzy logic, Leach protocol.
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Ramezani, Tayebeh, and Tahereh Ramezani. "A Distributed Method to Reconstruct Connection in Wireless Sensor Networks by Using Genetic Algorithm." Modern Applied Science 10, no. 6 (April 10, 2016): 50. http://dx.doi.org/10.5539/mas.v10n6p50.

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In recent years most of the research in the field of sensor networks is allocated to the wireless sensor and actor networks due to their complicacy and vastness of research area. This type of network is a group of sensors and actors wirelessly linked to each other. Sensors gather information of physical world while actors take appropriate decisions on the basis of gathered information and then perform proper actions upon the environment. In wireless sensor and actor networks, it is very important to maintain the connection between actors. Failure of one or more actors can break up the network into separated parts and this failure acts as a barrier to the network to perform its duties. The purpose of the present paper was to provide a genetic algorithm in wireless sensor and actor networks, to improve evaluation and to maintain the connection between actors’ networks. In order to evaluate strong points and weaknesses of the recommended approach, the OMNet++ simulation was used and the outcomes of the simulation were indicative of the recommended approach’s validity.
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Chen, Tzung-Shi, Jen-Jee Chen, Xiang-You Gao, and Tzung-Cheng Chen. "Mobile Charging Strategy for Wireless Rechargeable Sensor Networks." Sensors 22, no. 1 (January 4, 2022): 359. http://dx.doi.org/10.3390/s22010359.

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In a wireless sensor network, the sensing and data transmission for sensors will cause energy depletion, which will lead to the inability to complete the tasks. To solve this problem, wireless rechargeable sensor networks (WRSNs) have been developed to extend the lifetime of the entire network. In WRSNs, a mobile charging robot (MR) is responsible for wireless charging each sensor battery and collecting sensory data from the sensor simultaneously. Thereby, MR needs to traverse along a designed path for all sensors in the WRSNs. In this paper, dual-side charging strategies are proposed for MR traversal planning, which minimize the MR traversal path length, energy consumption, and completion time. Based on MR dual-side charging, neighboring sensors in both sides of a designated path can be wirelessly charged by MR and sensory data sent to MR simultaneously. The constructed path is based on the power diagram according to the remaining power of sensors and distances among sensors in a WRSN. While the power diagram is built, charging strategies with dual-side charging capability are determined accordingly. In addition, a clustering-based approach is proposed to improve minimizing MR moving total distance, saving charging energy and total completion time in a round. Moreover, integrated strategies that apply a clustering-based approach on the dual-side charging strategies are presented in WRSNs. The simulation results show that, no matter with or without clustering, the performances of proposed strategies outperform the baseline strategies in three respects, energy saving, total distance reduced, and completion time reduced for MR in WSRNs.
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Vino, T., S. S. Sivaraju, R. V. V. Krishna, T. Karthikeyan, Yogesh kumar Sharma, K. G. S. Venkatesan, G. Manikandan, R. Selvameena, and Mebratu Markos. "Multicluster Analysis and Design of Hybrid Wireless Sensor Networks Using Solar Energy." International Journal of Photoenergy 2022 (October 11, 2022): 1–8. http://dx.doi.org/10.1155/2022/1164613.

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A wireless touch network is a distributed, self-organizing network of multiple sensors and actuators in combination with multiple sensors and a radio channel. Also, the security area of such a network can be several meters to several meters. The main difference between wireless sensor networks from traditional computer and telephone networks is the lack of a fixed infrastructure owned by a specific operator or provider. Each user terminal in a touch network is capable of acting as a terminal device only. Despite the long history of sensor networks, the concept of building a sensor network is not finally imposed and expressed in some software and hardware (platform) solutions. In this paper, the design and analysis of multicluster model of the sensor nodes in wireless sensor network with the help of solar energy. This proposed model provides the required energy to transmit the information between two end nodes in different cluster. The communication between the end to end clusters was increased based on this design. The implementation of sensory networks at the current stage depends largely on the specific needs of the industrial problem. The architecture, software, and hardware implementation technology is at an intensive development stage, attracting the attention of developers looking for a technological niche of future makers.
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Gu, Musong, Lei You, Jun Hu, Lintao Duan, and Zhen Zuo. "The Wireless Sensor Networks Base Layout and Density Optimization Oriented towards Traffic Information Collection." Mathematical Problems in Engineering 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/214905.

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Wireless sensor networks (WSN) are applied in Intelligent Transport System for data collection. For the low redundancy rate of the wireless sensor networks nodes of traffic information collection, the senor nodes should be deployed reasonably for the WSN nodes to work effectively, and, thus, the base network structure and the density optimization of the sensor network are one of the main problems of WSN application. This paper establishes the wireless sensor networks design optimization model oriented to the traffic information collection, solving the design optimization model with the chemical reaction optimization (CRO) algorithm. The experimental results show that CRO algorithm outperforms the traditional particle swarm optimization (PSO) in solving the wireless sensor network design optimization oriented to the traffic information collection, capable of optimizing the wireless sensor network deployment of traffic information collection to contribute to the great improvement of the comprehensive value of the network performance. The reasonable design of the wireless sensor network nodes has great significance for the information collection, post-maintenance-and-extension, and cost saving of a monitoring system.
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Dissertations / Theses on the topic "Wireless Sensor Network"

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Simkhada, Shailendra, Christopher Lee, David Venderwerf, Miranda Tyree, and Tyler Lacey. "Wireless Sensor Network." International Foundation for Telemetering, 2011. http://hdl.handle.net/10150/595644.

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ITC/USA 2011 Conference Proceedings / The Forty-Seventh Annual International Telemetering Conference and Technical Exhibition / October 24-27, 2011 / Bally's Las Vegas, Las Vegas, Nevada
The scope of this document is the description of design and implementation of the wireless sensor network realized as a part of our Senior Design Capstone Project. The various components and sub-systems that comprise the final product are discussed, followed by the implementation procedures and results.
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Iqbal, Javed, and Farhan Moughal. "Wireless Sensor Network Setup : Wireless sensor motes embedded programing." Thesis, Halmstad University, Halmstad Embedded and Intelligent Systems Research (EIS), 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-5005.

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Exploitation of wireless sensor networks (WSNs) in ubiquitous computing environments is continuously increasing for gathering data. Contemporary distributed software systems on WSNs for pragmatic business applications have become extremely adaptive, dynamic, heterogeneous and large scaled. Management of such system is not trivial to fulfil these features, leading to more and more complex management and configuration. Along with encompassing state of art and novel techniques for such diversely dynamic system, in this thesis two alternative techniques namely “task initiation by command” and “run-time task deployment and processing” are compared, for such system’s setup and configuration. Both techniques have their own pros and cons which makes them suitable according to the requirements and contextual situations. A lot of effort has been put to make WSNs more and more efficient in terms of computations and power consumption. Hence comparative analysis of both techniques used in this report to setup and configure WSN can be a benchmark to lead towards most appropriate solution to compensate the need of efficient energy and resource consumption.Both alternative schemes are implemented to setup WSN on Sun Microsystems sunSPOT (Small Programmable Object Technology) sensor nodes which are embedded microcontrollers and programmed them in java (j2me). It performs radio communication between wireless sensors and host via sink node also called base station, along with over the air run-time management of sensors. SunSPOTs built in libraries and KSN libraries are used to implement these alternatives and compare the memory footprint, communication pattern and energy consumption.Exploitation of wireless sensor networks (WSNs) in ubiquitous computing environments is continuously increasing for gathering data. Contemporary distributed software systems on WSNs for pragmatic business applications have become extremely adaptive, dynamic, heterogeneous and large scaled. Management of such system is not trivial to fulfil these features, leading to more and more complex management and configuration. Along with encompassing state of art and novel techniques for such diversely dynamic system, in this thesis two alternative techniques namely “task initiation by command” and “run-time task deployment and processing” are compared, for such system’s setup and configuration. Both techniques have their own pros and cons which makes them suitable according to the requirements and contextual situations. A lot of effort has been put to make WSNs more and more efficient in terms of computations and power consumption. Hence comparative analysis of both techniques used in this report to setup and configure WSN can be a benchmark to lead towards most appropriate solution to compensate the need of efficient energy and resource consumption.Both alternative schemes are implemented to setup WSN on Sun Microsystems sunSPOT (Small Programmable Object Technology) sensor nodes which are embedded microcontrollers and programmed them in java (j2me). It performs radio communication between wireless sensors and host via sink node also called base station, along with over the air run-time management of sensors. SunSPOTs built in libraries and KSN libraries are used to implement these alternatives and compare the memory footprint, communication pattern and energy consumption.

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Sriporamanont, Thammakit, and Gu Liming. "Wireless Sensor Network Simulator." Thesis, Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-290.

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In the recent past, wireless sensor networks have been introduced to use in many applications. To

design the networks, the factors needed to be considered are the coverage area, mobility, power

consumption, communication capabilities etc. The challenging goal of our project is to create a

simulator to support the wireless sensor network simulation. The network simulator (NS-2) which

supports both wire and wireless networks is implemented to be used with the wireless sensor

network. This implementation adds the sensor network classes which are environment, sensor

agent and sensor application classes and modifies the existing classes of wireless network in NS-

2. This NS-2 based simulator is used to test routing protocols – Destination-Sequenced Distance

Vector (DSDV), and Ad-Hoc On-Demand Distance Vector (AODV) as one part of simulations.

Finally, the sensor network application models and the extension methods of this NS-2 based

simulator for simulations in specific wireless sensor network applications are proposed.

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Qu, Yipeng. "Wireless Sensor Network Deployment." FIU Digital Commons, 2013. http://digitalcommons.fiu.edu/etd/854.

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Wireless Sensor Networks (WSNs) are widely used for various civilian and military applications, and thus have attracted significant interest in recent years. This work investigates the important problem of optimal deployment of WSNs in terms of coverage and energy consumption. Five deployment algorithms are developed for maximal sensing range and minimal energy consumption in order to provide optimal sensing coverage and maximum lifetime. Also, all developed algorithms include self-healing capabilities in order to restore the operation of WSNs after a number of nodes have become inoperative. Two centralized optimization algorithms are developed, one based on Genetic Algorithms (GAs) and one based on Particle Swarm Optimization (PSO). Both optimization algorithms use powerful central nodes to calculate and obtain the global optimum outcomes. The GA is used to determine the optimal tradeoff between network coverage and overall distance travelled by fixed range sensors. The PSO algorithm is used to ensure 100% network coverage and minimize the energy consumed by mobile and range-adjustable sensors. Up to 30% - 90% energy savings can be provided in different scenarios by using the developed optimization algorithms thereby extending the lifetime of the sensor by 1.4 to 10 times. Three distributed optimization algorithms are also developed to relocate the sensors and optimize the coverage of networks with more stringent design and cost constraints. Each algorithm is cooperatively executed by all sensors to achieve better coverage. Two of our algorithms use the relative positions between sensors to optimize the coverage and energy savings. They provide 20% to 25% more energy savings than existing solutions. Our third algorithm is developed for networks without self-localization capabilities and supports the optimal deployment of such networks without requiring the use of expensive geolocation hardware or energy consuming localization algorithms. This is important for indoor monitoring applications since current localization algorithms cannot provide good accuracy for sensor relocation algorithms in such indoor environments. Also, no sensor redeployment algorithms, which can operate without self-localization systems, developed before our work.
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Bekara, Chakib. "Wireless sensor network security." Evry, Institut national des télécommunications, 2008. http://www.theses.fr/2008TELE0020.

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Durant ces dernières années, l’utilisation des réseaux de capteurs sans fils (RCSF), est devenu très répandue. Les capteurs sont habituellement déployés dans une région, pour suivre un phénomène d’intérêt (température, pression, mouvement, présence, radiation, etc,), puis rapporter son évolution à une station de base, qui prendra alors des décisions dépendant des données collectées. Vu que les capteurs sont très limités en termes de ressource (CPU, stockage, énergie), qu’ils sont une proie facile aux compromissions, qu’ils fonctionnent sans assistance humaine, et peuvent être déployés dans des environnements ouverts et hostiles, les RCSF sont sujets à différents types de menaces et d’attaques. Plusieurs travaux de recherches ont été menés pour résoudre les problèmes de sécurité liés aux RCSF, tels que : l’établissement de clés de paires entre capteurs, la sécurité de l’agrégation de données, l’authentification d’une source de diffusion, la sécurité du routage, ainsi que le contrôle d’accès au RCSF. Dans cette thèse, nous traitons trois points fondamentaux de la sécurité des RCSFs : l’établissement de clés cryptographiques de paires, la sécurité de l’agrégation des données, et l’authentification d’une source de diffusion. Pour chacun de ces thèmes, nous décrivons la problématique en jeu, puis nous passons en revue les solutions qui ont été proposées dans la littérature, en analysant leurs avantages et inconvénients. En dernier lieu, nous détaillons les solutions que nous proposons, et présentons leurs avantages comparativement aux solutions existantes
In the last few years, use of Wireless Sensors Network (WSN) became very popular. Sensors are used to be deployed in a regional area to monitor a phenomenon of interest (temperature, pressure, movement, presence, etc. ), and report its evolution to a base station, which will take some decisions, based on the collected sensed data. However sensors have extremely limited resources (computation, storage, and energy), they are unshielded devices, they work without a human assistance, and they can be deployed in a remote open and hostile area. As such, WSNs are target to several threats and attacks, and securing them is not an easy task. Several works have been done to address the security issues and challenges in WSNs, including: key establishment, secure data aggregation, broadcast data source authentication, secure routing and access control. In this thesis, we investigate three keystone security issues in WSNs: key establishment, secure data aggregation and broadcast data source authentication. For each security issue, we describe its problematic, then we review some existing solutions in the literature, and analyze their advantages and shortcomings. Finally, we describe our own proposals, outlining their advantages over the previous solutions
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Tan, Hailun Computer Science &amp Engineering Faculty of Engineering UNSW. "Secure network programming in wireless sensor networks." Awarded By:University of New South Wales. Computer Science & Engineering, 2010. http://handle.unsw.edu.au/1959.4/44835.

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Network programming is one of the most important applications in Wireless Sensor Networks as It provides an efficient way to update program Images running on sensor nodes without physical access to them. Securing these updates, however, remains a challenging and important issue, given the open deployment environment of sensor nodes. Though several security schemes have been proposed to impose the authenticity and Integrity protection on network programming applications, they are either energy Inefficient as they tend to use digital signature or lacks the data confidentiality. In addition, due to the absence of secure memory management in the current sensor hardware, the attacker could inject malicious code into the program flash by exploiting buffer overflow In the memory despite the secure code dissemination. The contribution of this thesis Is to provide two software-based security protocols and one hardware-based remote attestation protocol for network programming application. Our first protocol deploys multiple one-way key chains for a multi-hop sensor network. The scheme Is shown to be lower In computational, power consumption and communication costs yet still able to secure multi??hop propagation of program images. Our second protocol utilizes an Iterative hash structure to the data packets in network programming application, ensuring the data confidentiality and authenticity. In addition, we Integrated confidentiality and DoS-attack-resistance in a multi??hop code dissemination protocol. Our final solution is a hardware-based remote attestation protocol for verification of running codes on sensor nodes. An additional piece of tamper-proof hardware, Trusted Platform Module (TPM), is imposed into the sensor nodes. It secures the sensitive information (e.g., the session key) from attackers and monitors any platform environment changes with the Internal registers. With these features of TPM, the code Injection attack could be detected and removed when the contaminated nodes are challenged in our remote attestation protocol. We implement the first two software-based protocols with Deluge as the reference network programming protocol in TinyOS, evaluate them with the extensive simulation using TOSSIM and validate the simulation results with experiments using Tmote. We implement the remote attestation protocol on Fleck, a sensor platform developed by CSIRO that Integrates an Atmel TPM chip.
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Lim, Tiong Hoo. "Dependable network protocols in wireless sensor networks." Thesis, University of York, 2013. http://etheses.whiterose.ac.uk/4903/.

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This thesis is concerned with the dependability of Wireless Sensor Networks (WSNs). We propose an approach, inspired by the immune system, that allows individual nodes to detect, diagnose and recover from different failures by switching between different protocols using a multi-modal switching mechanism. A causal link between different failures in WSN is identified. Existing fault tolerance in WSNs approaches are examined. From the survey, it is identified that various attempts have been made to improve the fault tolerance of the communication protocol especially in the routing protocols. Although tests have been performed to evaluate the communication protocols prior to deployment, failures in WSNs are still being reported when deployed in real environments. A Systematic Protocol Evaluation Technique (SPET) is proposed and applied to evaluate the dependability of the proposed multi-modal protocol and reduce the uncertainties in the experiment and to demonstrate the confidence in the measurements taken from experiments.
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Sevgi, Cuneyt. "Network Dimensioning In Randomly Deployed Wireless Sensor Networks." Phd thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/2/12611213/index.pdf.

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In this study, we considered a heterogeneous, clustered WSN, which consists of two types of nodes (clusterheads and sensor nodes) deployed randomly over a sensing field. We investigated two cases based on how clusterheads can reach the sink: direct and multi-hop communication cases. Network dimensioning problems in randomly deployed WSNs are among the most challenging ones as the attributes of these networks are mostly non-deterministic. We focused on a number of network dimensioning problems based on the connected coverage concept, which is the degree of coverage achieved by only the connected devices. To evaluate connected coverage, we introduced the term cluster size, which is the expected value of the area covered by a clusterhead together with sensor nodes connected to it. We derived formulas for the cluster size and validated them by computer simulations. By using the cluster size formulas, we proposed a method to dimension a WSN for given targeted connected coverage. Furthermore, we formulated cost optimization problems for direct and multi-hop communication cases. These formulations utilize not only cluster size formulas but also the well-connectivity concept. We suggested some search heuristics to solve these optimization problems. Additionally, we justified that, in practical cases, node heterogeneity can provide lower cost solutions. We also investigated the lifetime of WSNs and for mulated a cost optimization problem with connected coverage and lifetime constraints. By solving this optimization problem, one can determine the number of nodes of each type and the initial energies of each type of node that leads to lowest cost solution while satisfying the minimum connected coverage and minimum lifetime requirements.
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Yuan, Fenghua. "Lightweight network management design for wireless sensor networks." Online access for everyone, 2007. http://www.dissertations.wsu.edu/Thesis/Fall2007/F_Yuan_081307.pdf.

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Karaaslan, Ibrahim. "Anti-sensor Network: Distortion-based Distributed Attack In Wireless Sensor Networks." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/3/12609276/index.pdf.

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In this thesis, a novel anti-sensor network paradigm is introduced against wireless sensor networks (WSN). Anti-sensor network (ASN) aims to destroy application reliability by adaptively and anonymously introducing adequate level of artificial distortion into the communication of the event features transported from the sensor nodes (SN) to the sink. ASN is composed of anti-sensor nodes (aSN) randomly distributed over the sensor network field. aSNs pretend to be SNs tomaintain anonymity and so improve resiliency against attack detection and prevention mechanisms. Performance evaluations via mathematical analysis and simulation experiments show that ASN can effectively reduce the application reliability of WSN.
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Books on the topic "Wireless Sensor Network"

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Wireless sensor network designs. Chichester, West Sussex, England: J. Wiley, 2003.

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Bulusu, Nirupama. Wireless sensor network systems. Boston, MA: Artech House, 2005.

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Javier, López, and Zhou Jianying, eds. Wireless sensor network security. Amsterdam: IOS Press, 2008.

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Mukhopadhyay, Subhas Chandra. Advances in Wireless Sensors and Sensor Networks. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2010.

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Elahi, Ata. ZigBee wireless sensor and control network. Upper Saddle River, NJ: Prentice Hall, 2009.

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Elahi, Ata. ZigBee wireless sensor and control network. Upper Saddle River, NJ: Prentice Hall, 2010.

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Elahi, Ata. ZigBee wireless sensor and control network. Upper Saddle River, NJ: Prentice Hall, 2010.

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1979-, Gschwender Adam, ed. ZigBee wireless sensor and control network. Upper Saddle River, NJ: Prentice Hall, 2010.

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LTE self-organising networks (SON): Network management automation for operational efficiency. Hoboken, N.J: Wiley, 2012.

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Wireless sensor and ad hoc networks under diversified network scenarios. Boston, Mass: Artech House, 2012.

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Book chapters on the topic "Wireless Sensor Network"

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Kale, Vivek. "Wireless Sensor Networks." In Agile Network Businesses, 417–43. New York : CRC Press, 2017.: Auerbach Publications, 2017. http://dx.doi.org/10.4324/9781315368559-22.

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Sharma, Saurabh, Amit Sahu, Ashok Verma, and Neeraj Shukla. "Wireless Sensor Network Security." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 317–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27317-9_33.

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Sharma, Bobby. "Wireless Sensor Network Security." In Encyclopedia of Wireless Networks, 1497–501. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-78262-1_253.

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Sharma, Bobby. "Wireless Sensor Network Security." In Encyclopedia of Wireless Networks, 1–6. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-32903-1_253-1.

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Rodríguez, Ciro, and Isabel Moscol. "Wireless Sensor Network Security." In Advanced Wireless Communication and Sensor Networks, 197–212. New York: Chapman and Hall/CRC, 2023. http://dx.doi.org/10.1201/9781003326205-17.

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Wang, Weiping, Shigeng Zhang, Guihua Duan, and Hong Song. "Security in Wireless Sensor Networks." In Wireless Network Security, 129–77. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36511-9_7.

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Li, Ping, Limin Sun, Xiangyan Fu, and Lin Ning. "Security in Wireless Sensor Networks." In Wireless Network Security, 179–227. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36511-9_8.

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Kim, Hyung Won. "Wireless Sensor Network for Video Sensors." In KAIST Research Series, 339–66. Dordrecht: Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-017-9987-4_15.

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D., Francina Sophiya, Swarnalatha P., Prabu Sevugan, T. D. K. Upeksha Chathurani, and R. Magesh Babu. "Smart Sensing Network for Smart Technologies." In Applications of Artificial Intelligence for Smart Technology, 177–91. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-3335-2.ch012.

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Smart environments based on wireless sensor networks represent the next evolutionary development step in engineering, such as industrial automation, video surveillance, traffic monitoring, and robot control. Sensory data come from multiple networks of interconnected sensors with complex distributed locations. The recent development of communication and sensor technology results in the growth of a new attractive and challenging area: wireless sensor networks (WSNs). A wireless sensor network which consists of a large number of sensor nodes is deployed in environmental fields to serve various applications. Facilitated with the ability of wireless communication and intelligent computation, these nodes become smart sensors that do not only perceive ambient physical parameters but also are able to process information, cooperate with each other, and self-organize into the network. These new features assist the sensor nodes as well as the network to operate more efficiently in terms of both data acquisition and energy consumption.
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"Network Layer." In Wireless Sensor Networks, 139–65. Chichester, UK: John Wiley & Sons, Ltd, 2010. http://dx.doi.org/10.1002/9780470515181.ch7.

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Conference papers on the topic "Wireless Sensor Network"

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Kaur, Harminder, and Sharvan Kumar Pahuja. "MAC Protocols for Wireless Body Sensor Network." In International Conference on Women Researchers in Electronics and Computing. AIJR Publisher, 2021. http://dx.doi.org/10.21467/proceedings.114.33.

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Wireless Body Area Networks, also known as the Wireless Body Sensor Networks, provides the monitoring of the health parameters in remote areas and where the medical facility is not available. Wireless Body Sensor Networks contains the body or placement of the sensors on body for measuring the medical and non-medical parameters. These networks share the wireless medium for the transmission of the data from one place to another. So the design of Medium Access Control is a challenging task for the WBSNs due to wireless media for less energy consumption and mobility. Various MAC protocols are designed to provide less energy consumption and improve the network lifetime. This paper presents the study of these existing MAC layer protocols based on different QoS parameters that define the network quality.
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Malinowski, John, Patrick Wiley, Jonathan Trent, and Emil J. Geiger. "Wireless ISFET pH Sensor Network for Offshore Microalgae Cultivation." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-89605.

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Microalgae technology continues to show tremendous promise for becoming a major source of renewable transportation fuel in the coming decades. However, for microalgae to provide a significant fraction of the current US demand for fuel, their cultivation will be required on an enormous scale. One of the many formidable challenges that must be met to achieve this scale is the development of appropriate sensor networks to provide information about the growth conditions and the algae themselves. These sensors would monitor the heterogeneity of a) environmental parameters, such as pH, oxygen, and nutrient levels and b) algal characteristics such as size, oil content, and viability. Here we present a wireless sensor network to measure the local pH in NASA OMEGA project (Offshore Membrane Enclosures for Growing Algae). The pH is measured using Ion Sensitive Field Effect Transistor (ISFET) technology, which is more robust and has a faster response than traditional glass pH electrodes. A custom circuit drives the ISFET sensor and interfaces with an ANT wireless network system. The wireless network consists of a network hub which can service up to 8 sensor nodes and a series of relays to transmit the data to a PC. The data is logged with a custom LabVIEW program. In this work, we demonstrate operation of this network using a single ISFET pH sensor, one hub, and two relay units. The performance of the pH sensor network is evaluated and compared in parallel with an existing wired glass electrode based pH monitoring system at the NASA OMEGA project.
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Blokhin, Y. I., A. V. Belov, S. Y. Blokhina, and A. V. Dvirnik. "WIRELESS SENSOR NETWORK – NEW OPPORTUNETES FOR SOIL MOISTURE MONITORING." In INNOVATIVE TECHNOLOGIES IN SCIENCE AND EDUCATION. DSTU-Print, 2020. http://dx.doi.org/10.23947/itno.2020.161-165.

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Currently, wireless sensor networks (WSNs) are an actively developing area of scientific research. WSN can be used to monitor a variety of conditions, such as soil properties for agricultural applications. In particular, various underground sensors are used to monitor soil moisture. Existing underground sensing technology consists of buried sensors connected to the data logger for recording the sensor readings for subsequent information retrieval. The article introduces the concept of wireless underground sensor networks (WUSN), where the most of the sensor devices, including the means of transmitting and receiving signals, are deployed completely belowground. A prototype of the WUSN sensor node is presented, including a borehole moisture meter for real-time monitoring of soil moisture in an agricultural field. Communication between sensor nodes is carried out using the ZigBee protocol.
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Priya, Shashank, Dan Popa, and Frank Lewis. "Energy Efficient Mobile Wireless Sensor Networks." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-14078.

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Wireless sensor networks (WSN) have tremendous potential in many environmental and structural health monitoring applications including, gas, temperature, pressure and humidity monitoring, motion detection, and hazardous materials detection. Recent advances in CMOS-technology, IC manufacturing, and networking utilizing Bluetooth communications have brought down the total power requirements of wireless sensor nodes to as low as a few hundred microwatts. Such nodes can be used in future dense ad-hoc networks by transmitting data 1 to 10 meters away. For communication outside 10 meter ranges, data must be transmitted in a multi-hop fashion. There are significant implications to replacing large transmission distance WSN with multiple low-power, low-cost WSN. In addition, some of the relay nodes could be mounted on mobile robotic vehicles instead of being stationary, thus increasing the fault tolerance, coverage and bandwidth capacity of the network. The foremost challenge in the implementation of a dense sensor network is managing power consumption for a large number of nodes. The traditional use of batteries to power sensor nodes is simply not scalable to dense networks, and is currently the most significant barrier for many applications. Self-powering of sensor nodes can be achieved by developing a smart architecture which utilizes all the environmental resources available for generating electrical power. These resources can be structural vibrations, wind, magnetic fields, light, sound, temperature gradients and water currents. The generated electric energy is stored in the matching media selected by the microprocessor depending upon the power magnitude and output impedance. The stored electrical energy is supplied on demand to the sensors and communications devices. This paper shows the progress in our laboratory on powering stationary and mobile untethered sensors using a fusion of energy harvesting approaches. It illustrates the prototype hardware and software required for their implementation including MEMS pressure and strain sensors mounted on mobile robots or stationary, power harvesting modules, interface circuits, algorithms for interrogating the sensor, wireless data transfer and recording.
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Kim, Hyung-Sin, Jin-Seok Han, and Yong-Hwan Lee. "Scalable network joining mechanism in wireless sensor networks." In 2012 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNet). IEEE, 2012. http://dx.doi.org/10.1109/wisnet.2012.6172139.

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ŠILJAK, HARUN, and BISWAJIT BASU. "NATURAL SYNCHRONIZATION OF WIRELESS SENSOR NETWORKS FOR STRUCTURAL HEALTH MONITORING." In Structural Health Monitoring 2021. Destech Publications, Inc., 2022. http://dx.doi.org/10.12783/shm2021/36278.

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Time synchronization in communication networks is a common issue: in a sensor network it means that the order of data samples becomes uncertain, which can make it unusable. Dedicated signals and schemes for synchronization of sensor networks has hence been a well-researched topic for decades. Here we bring in an approach to synchronization which uses the sensory data. Drawing inspiration from sensor time synchronization using environmental noise, we consider synchronizing sensory nodes for structural health monitoring–if the physical quantity the sensors measure is correlated, propagating as a wave, or oscillating in regular fashion, it is intuitively clear how to put it to use. We discuss when structural health monitoring signals can aid synchronization; we also connect this synchronization scheme to the idea of using physical human-made structures as reservoirs for reservoir computing, formulating synchronization as a reservoir computing task.
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Perotti, Jose M., Angel R. Lucena, Pamela A. Mullenix, and Carlos T. Mata. "Wireless sensor network." In Defense and Security Symposium, edited by Valentin Korman. SPIE, 2006. http://dx.doi.org/10.1117/12.669702.

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Bhuiyan, Rashed Hossain, MD Mazharul Islam, and Haiying Huang. "Wireless Excitation and Electrical Impedance Matching of Piezoelectric Wafer Active Sensors." In ASME 2012 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/smasis2012-8210.

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Wireless ultrasound inspections using Piezoelectric Wafer Active Sensors (PWAS) are attractive for Structural Health Monitoring (SHM). However, the impedance mismatch between the PWAS and the wireless transponder reduces the wirelessly transmitted signal strength. Electrical Impedance Matching (EIM) circuit can be introduced to maximize the power transmission between the PWAS and the wireless transponder. This paper discusses the wireless excitation of ultrasound as well as the design, simulation, and characterization of the EIM networks for PWAS. To maximize power transmission, a two port EIM network was developed using a computerized smith chart. The equivalent circuit of the PWAS and the EIM network were then combined to establish the equivalent circuit of the matched transducer. Computer simulations were carried out to evaluate the gain, the bandwidth, and the sensitivity of the EIM networks. Two-port EIM networks were implemented for both the actuator and the sensor in an ultrasound pitch-catch inspection system. The performance of the pitch-catch systems with and without the EIM networks was compared. Detailed analysis, simulation, hardware implementation, and measurement results are presented.
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Wen, Yao-Jung, Alice M. Agogino, and Kai Goebel. "Fuzzy Validation and Fusion for Wireless Sensor Networks." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-60964.

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Miniaturized, distributed, networked sensors — called motes — promise to be smaller, less expensive and more versatile than other sensing alternatives. While these motes may have less individual reliability, high accuracy for the overall system is still desirable. Sensor validation and fusion algorithms provide a mechanism to extract pertinent information from massively sensed data and identify incipient sensor failures. Fuzzy approaches have proven to be effective and robust in challenging sensor validation and fusion applications. The algorithm developed in this paper — called mote-FVF (fuzzy validation and fusion) — uses a fuzzy approach to define the correlation among sensor readings, assign a confidence value to each of them, and perform a fused weighted average. A sensor network implementing mote-FVF for monitoring the illuminance in a dimmable fluorescent lighting environment empirically demonstrates the timely response of the algorithm to sudden changes in normal operating conditions while correctly isolating faulty sensor readings.
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Yu, Jaewook, Woohyung Chun, Goldie Nejat, Eric Noel, and K. Wendy Tang. "Self-Powered Wireless Sensor Balls for Homeland Security." In ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-42334.

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In this paper, the development of affordable self-powered wireless sensor balls is proposed for environmental monitoring. Depending on the area of interest, multiple balls can be either thrown or rolled from a distance into the surrounding area of interest or placed beside the object of interest, and send sensory information back to a central base station, i.e., a laptop, for sensor fusion and processing. In order to achieve fast and robust deployment, reliable data delivery, and smart power management, the paper focuses on the potential wireless network and energy harvesting scheme of the balls. In particular, to support a large number of sensor balls, we show that shortest path routing is essential in minimizing network latency and guarantee timely delivery of critical and emergency information. Furthermore, a vibration-based electromagnetic energy harvesting technique is investigated to capture the energy from the motion of the balls. Experimental results demonstrate the potential development of a network of autonomous self-powered wireless sensor balls.
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Reports on the topic "Wireless Sensor Network"

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Alphenaar, Bruce. Wireless Sensor Network for Electric Transmission Line Monitoring. Office of Scientific and Technical Information (OSTI), June 2009. http://dx.doi.org/10.2172/1004093.

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Skalka, Christian. A Language-Based Approach To Wireless Sensor Network Security. Fort Belvoir, VA: Defense Technical Information Center, March 2014. http://dx.doi.org/10.21236/ada597308.

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Renner, Adam. Wireless Vital Sign Sensor Network Simulations for Mass Casualty Response. Fort Belvoir, VA: Defense Technical Information Center, November 2013. http://dx.doi.org/10.21236/ada592089.

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Mahdavi, Rod, and William Tschudi. Wireless Sensor Network for Improving the Energy Efficiency of Data Centers. Office of Scientific and Technical Information (OSTI), March 2012. http://dx.doi.org/10.2172/1171531.

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Liang, Qilian, and Haining Shu. Wireless Sensor Network Lifetime Analysis Using Interval Type-2 Fuzzy Logic Systems. Fort Belvoir, VA: Defense Technical Information Center, December 2004. http://dx.doi.org/10.21236/ada428428.

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Yi Jia. Battery-free Wireless Sensor Network For Advanced Fossil-Fuel Based Power Generation. Office of Scientific and Technical Information (OSTI), February 2011. http://dx.doi.org/10.2172/1046952.

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Carlos H. Rentel. Low-Cost, Robust, Threat-aware Wireless Sensor Network for Assuring the Nation's Energy Infrastructure. Office of Scientific and Technical Information (OSTI), March 2007. http://dx.doi.org/10.2172/920622.

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Carols H. Rentel. Low-Cost, Robust, Threat-Aware Wireless Sensor Network for Assuring the Nation's Energy Infrastructure. Office of Scientific and Technical Information (OSTI), March 2007. http://dx.doi.org/10.2172/920623.

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Carlos H. Rentel and Peter J. Marshall. Low-Cost, Robust, Threat-Aware Wireless Sensor Network for Assuring the Nation's Energy Infrastructure. Office of Scientific and Technical Information (OSTI), March 2007. http://dx.doi.org/10.2172/924028.

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Nidal, Jodeh M. Optimal UAS Assignments and Trajectories for Persistent Surveillance and Data Collection from a Wireless Sensor Network. Fort Belvoir, VA: Defense Technical Information Center, December 2015. http://dx.doi.org/10.21236/ad1003575.

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