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Relevant bibliographies by topics / Dynamic Wireless Sensor Networks

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Academic literature on the topic 'Dynamic Wireless Sensor Networks'

Author: Grafiati

Published: 3 June 2025

Last updated: 1 August 2025

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Journal articles on the topic "Dynamic Wireless Sensor Networks"

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Elamurugu, V., and D. J. Evanjaline. "DynAuthRoute: Dynamic Security for Wireless Sensor Networks." Indian Journal Of Science And Technology 17, no. 13 (2024): 1323–30. http://dx.doi.org/10.17485/ijst/v17i13.49.

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Objectives: The research aims to design an architecture for secure transmission of data in wireless sensor networks. Methods: The method involves three main pillars: authentication, data encryption, and dynamic routing. Extensive simulations have been conducted to evaluate the suggested method in terms of energy consumption, memory footprint, packet delivery ratio, end-to-end latency, execution time, encryption time, and decryption time. Findings: For authentication, a dynamic key is used to power an improved salt password hashing method. Data encryption is performed using format-preserving en

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K, Vijayalakshmi, Jayalakshmi S, Abinaya S, Indhumathi S, and Hemavathi J. "Dynamic Cluster Head Selection Method for Wireless Sensor Networks." SIJ Transactions on Computer Networks & Communication Engineering 06, no. 02 (2018): 06–09. http://dx.doi.org/10.9756/sijcnce/v6i2/05010200101.

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Chaczko, Zenon, Christopher Chiu, Shahrzad Aslanzadeh, and Toby Dune. "Sensor-Actor Network Solution for Scalable Ad-hoc Sensor Networks." International Journal of Electronics and Telecommunications 58, no. 1 (2012): 55–62. http://dx.doi.org/10.2478/v10177-012-0008-4.

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Sensor-Actor Network Solution for Scalable Ad-hoc Sensor NetworksArchitects of ad-hoc wireless Sensor-Actor Networks (SANETS) face various problems and challenges. The main limitations relate to aspects such as the number of sensor nodes involved, low bandwidth, management of resources and issues related to energy management. In order for these networks to be functionally proficient, the underlying software system must be able to effectively handle unreliable and dynamic distributed communication, power constraints of wireless devices, failure of hardware devices in hostile environments and th

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Lee, Chao Yang, Fu Tian Lin, and Chu Sing Yang. "Mobile Sensor Navigation in Wireless Hybrid Sensor Networks." Advanced Materials Research 694-697 (May 2013): 1013–16. http://dx.doi.org/10.4028/www.scientific.net/amr.694-697.1013.

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With recent advances in mobile platforms, hybrid sensor networks are becoming very popular technology. Mobile sensors can dynamically move to monitor uncovered areas and thus improve the coverage quality. Due to the obstacles may exist in the monitor fields, mobile sensors need to find an obstacle-free moving path for mobile sensor movement. However, in practical, sensors are difficult to obtain the geographic information of obstacles. Additionally, sensors have resource constraints. Hence, this work proposed an obstacle-free and geographic-free dispatch scheme (OGDS) for mobile sensor navigat

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Paliwal, Rakesh, and Irfan Khan. "Design and Analysis of Soft Computing Based Improved Routing Protocol in WSN for Energy Efficiency and Lifetime Enhancement." International Journal on Recent and Innovation Trends in Computing and Communication 10, no. 3 (2022): 12–24. http://dx.doi.org/10.17762/ijritcc.v10i3.5521.

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Mobile wireless sensor networks have been developed as a result of recent advancements in wireless technologies. Sensors in the network are low-cost and have a short battery life, in addition to their mobility. They are more applicable in terms of the essential properties of these networks. These networks have a variety of uses, including search and rescue operations, health and environmental monitoring, and intelligent traffic management systems, among others. According to the application requirements, mobile wireless sensor nodes are energy limited equipment, so energy conservation is one of

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HUANG, GUANGYAN, XIAOWEI LI, JING HE, and XIN LI. "DATA MINING VIA MINIMAL SPANNING TREE CLUSTERING FOR PROLONGING LIFETIME OF WIRELESS SENSOR NETWORKS." International Journal of Information Technology & Decision Making 06, no. 02 (2007): 235–51. http://dx.doi.org/10.1142/s0219622007002538.

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Clustering is applied in wireless sensor networks for increasing energy efficiency. Clustering methods in wireless sensor networks are different from those in traditional data mining systems. This paper proposes a novel clustering algorithm based on Minimal Spanning Tree (MST) and Maximum Energy resource on sensors named MSTME. Also, specified constrains of clustering in wireless sensor networks and several evaluation metrics are given. MSTME performs better than already known clustering methods of Low Energy Adaptive Clustering Hierarchy (LEACH) and Base Station Controlled Dynamic Clustering

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Salam, Al-Khammasi, Alhelal Dheyaa, and Salih Ali Nabeel. "Energy Efficient Cluster Based Routing Protocol for Dynamic and Static Nodes in Wireless Sensor Network." TELKOMNIKA Telecommunication, Computing, Electronics and Control 16, no. 5 (2018): 1974–81. https://doi.org/10.12928/TELKOMNIKA.v16i5.9930.

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Power consumption is considered one of the most significant challenges in the wireless network sensors (WSNs). In this paper, an investigation of the power consumption is done by making a comparison between static and dynamic WSNs. We have compared the results of the static network with the results of the dynamic network. Static and dynamic wireless Sensor networks have the same architecture (Homogenous) and proposed protocol. Depending on the suggested protocol, the simulation results show that the energy consumption in the static wireless sensor network was less than the dynamic wireless sen

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Khalid, Muhammad, Zahid Ullah, Naveed Ahmad, et al. "A Survey of Routing Issues and Associated Protocols in Underwater Wireless Sensor Networks." Journal of Sensors 2017 (2017): 1–17. http://dx.doi.org/10.1155/2017/7539751.

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Underwater wireless sensor networks are a newly emerging wireless technology in which small size sensors with limited energy and limited memory and bandwidth are deployed in deep sea water and various monitoring operations like tactical surveillance, environmental monitoring, and data collection are performed through these tiny sensors. Underwater wireless sensor networks are used for the exploration of underwater resources, oceanographic data collection, flood or disaster prevention, tactical surveillance systems, and unmanned underwater vehicles. Sensor nodes consist of a small memory, a cen

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Kim, Kyungdoh, Chunghun Ha, and Changsoo Ok. "Network Structure-Aware Ant-Based Routing in Large-Scale Wireless Sensor Networks." International Journal of Distributed Sensor Networks 2015 (2015): 1–16. http://dx.doi.org/10.1155/2015/521784.

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Routing algorithms for large-scale sensor networks should be capable of finding energy efficient paths to prolong the lifetime of the networks in a decentralized manner. With this respect, Ant System has several proper characteristics for routing algorithm in large-scale wireless sensor networks. First, its distributed mechanism enables routing algorithm to find a solution with only local information and be robust for uncertainties in wireless sensor networks. Second, the framework of the Ant System is proper to solve dynamic problems such as routing problem. Transition probability in Ant Syst

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Zhou, Xin Xin, and Yan Zhao. "A Novel Energy-Balanced Dynamic Routing Algorithm for Wireless Sensor Networks." Applied Mechanics and Materials 681 (October 2014): 235–38. http://dx.doi.org/10.4028/www.scientific.net/amm.681.235.

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Wireless sensor networks (WSNs) is taking an increasing role in our lives. Because the energy of the sensors is limited how to efficiently use the energy to prolong the lifecycle of the sensor networks is very important. In this paper, a novel energy-balanced dynamic routing algorithm based on ACO is proposed. The novel routing algorithm can dynamically choose routing according to the residual energy of the sensors and the sensors with more power is taken more data transfer tasks. The simulation results show that the proposed routing algorithm can effectively balance energy consumption and pro

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Dissertations / Theses on the topic "Dynamic Wireless Sensor Networks"

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Yeh, Cheng-tai. "Dynamic reconfiguration techniques for wireless sensor networks." Connect with this title, 2008. http://scholarworks.umass.edu/theses/119/.

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Yang, Shusen. "Distributed optimisation in dynamic wireless sensor networks." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/19676.

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Over the past decade, Wireless Sensor Networks (WSNs) have evolved into a hot interdisciplinary research area. WSNs are generally considered to be statically deployed, but in reality they are dynamic in nature due to a variety of characteristics including fluctuating wireless link quality and clock drift. Furthermore, new WSN topologies and applications have introduced more dynamics, such as time-varying power resources, data traffic patterns, and mobile sensing. These dynamics pose challenges to the theoretical understanding of WSN behaviours and the design of practical algorithms. This thesi

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Parthasarathy, Rashmi. "Robust dynamic reprogramming of wireless sensor networks." Pullman, Wash. : Washington State University, 2009. http://www.dissertations.wsu.edu/Thesis/Fall2009/r_parthasarathy_112309.pdf.

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Thesis (M.S. in computer science)--Washington State University, December 2009.<br>Title from PDF title page (viewed on Jan. 20, 2010). "School of Electrical Engineering and Computer Science." Includes bibliographical references (p. 60-64).

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Papadopoulos, Georgios. "Improving medium access for dynamic wireless sensor networks." Thesis, Strasbourg, 2015. http://www.theses.fr/2015STRAD034/document.

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L’Internet des objets amène des contraintes uniques et une immense variété d’applications. Ceci oblige à être capable d’établir des communications efficaces en énergie (et néanmoins à faible délai) au sein de réseaux fortement dynamiques. Nous nous sommes concentrés sur l'amélioration du contrôle d'accès au medium (MAC), afin d’optimiser la gestion des communications sans fils,principale source de consommation d'énergie dans ces réseaux. Cette thèse discute de l’auto adaptation de solutions MAC asynchrones et montre qu’une coopération localisée entre objets communicants permet de maintenir un

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PILLONI, VIRGINIA. "Dynamic deployment of applications in wireless sensor networks." Doctoral thesis, Università degli Studi di Cagliari, 2013. http://hdl.handle.net/11584/266095.

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Over the past decades, the progress inWirelss Sensor Network (WSN) technology, both in terms of processing capability and energy consumption reduction, has evolved WSNs into complex systems that can gather information about the monitored environment and make prompt and intelligent decisions. In the beginning, military applications drove the research and development of WSNs, with large-scale acoustic systems for underwater surveillance, radar systems for the collection of data on air targets, and Unattended Ground Sensor (UGS) systems for ground target detection. Typical civil WSNs are basical

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Cook, Steven Charles. "Dynamic Near Field Communication Pairing For Wireless Sensor Networks." BYU ScholarsArchive, 2013. https://scholarsarchive.byu.edu/etd/3737.

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Wireless sensor network (WSN) nodes communicate securely using pre-installed cryptographic keys. Although key pre-installation makes nodes less expensive, the technical process of installing keys prevents average users from deploying and controlling their own WSNs. Wireless pairing enables users to set up WSNs without pre-installing keys, but current pairing techniques introduce numerous concerns regarding security, hardware expense, and usability. This thesis introduces dynamic Near Field Communication (NFC) pairing, a new pairing technique designed for WSNs. This pairing overcomes the limita

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Barragan, Dante E. "Optimal placement of sensors for network lifetime extension in wireless sensor networks with dynamic routing." To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2008. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.

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Codeluppi, Rossano <1974&gt. "Design of wireless sensor networks for fluid dynamic applications." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2008. http://amsdottorato.unibo.it/929/1/Tesi_Codeluppi_Rossano.pdf.

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In fluid dynamics research, pressure measurements are of great importance to define the flow field acting on aerodynamic surfaces. In fact the experimental approach is fundamental to avoid the complexity of the mathematical models for predicting the fluid phenomena. It’s important to note that, using in-situ sensor to monitor pressure on large domains with highly unsteady flows, several problems are encountered working with the classical techniques due to the transducer cost, the intrusiveness, the time response and the operating range. An interesting approach for satisfying the previo

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Codeluppi, Rossano <1974&gt. "Design of wireless sensor networks for fluid dynamic applications." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2008. http://amsdottorato.unibo.it/929/.

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In fluid dynamics research, pressure measurements are of great importance to define the flow field acting on aerodynamic surfaces. In fact the experimental approach is fundamental to avoid the complexity of the mathematical models for predicting the fluid phenomena. It’s important to note that, using in-situ sensor to monitor pressure on large domains with highly unsteady flows, several problems are encountered working with the classical techniques due to the transducer cost, the intrusiveness, the time response and the operating range. An interesting approach for satisfying the previo

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Dang, Thanh Xuan. "Scalable and Efficient Tasking for Dynamic Sensor Networks." PDXScholar, 2011. https://pdxscholar.library.pdx.edu/open_access_etds/269.

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Sensor networks including opportunistic networks of sensor-equipped smartphones as well as networks of embedded sensors can enable a wide range of applications including environmental monitoring, smart grids, intelligent transportation, and healthcare. In most real-world applications, to meet end-user requirements, the network operator needs to define and update the sensors' tasks dynamically, such as updating the parameters for sensor data collection or updating the sensors' code. Tasking sensor networks is necessary to reduce the effort in programming sensor networks. However, it is challeng

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Books on the topic "Dynamic Wireless Sensor Networks"

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Elhoseny, Mohamed, and Aboul Ella Hassanien. Dynamic Wireless Sensor Networks. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-92807-4.

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Oteafy, Sharief M. A., and Hossam S. Hassanein. Dynamic Wireless Sensor Networks. John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118761977.

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Cui, Li, and Xiaolan Xie, eds. Wireless Sensor Networks. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-8174-5.

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Selmic, Rastko R., Vir V. Phoha, and Abdul Serwadda. Wireless Sensor Networks. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46769-6.

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Silva, Jorge Sá, Bhaskar Krishnamachari, and Fernando Boavida, eds. Wireless Sensor Networks. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11917-0.

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Shen, Shikai, Kaiguo Qian, Shaojun Yu, and Wu Wang, eds. Wireless Sensor Networks. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6834-9.

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Picco, Gian Pietro, and Wendi Heinzelman, eds. Wireless Sensor Networks. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28169-3.

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Akyildiz, Ian F., and Mehmet Can Vuran. Wireless Sensor Networks. John Wiley & Sons, Ltd, 2010. http://dx.doi.org/10.1002/9780470515181.

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Yang, Shuang-Hua. Wireless Sensor Networks. Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-5505-8.

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Krishnamachari, Bhaskar, Amy L. Murphy, and Niki Trigoni, eds. Wireless Sensor Networks. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04651-8.

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Book chapters on the topic "Dynamic Wireless Sensor Networks"

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Oteafy, Sharief M. A., and Hossam S. Hassanein. "Shifting to Dynamic WSN Paradigms." In Dynamic Wireless Sensor Networks. John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118761977.ch2.

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Oteafy, Sharief M. A., and Hossam S. Hassanein. "Dynamic WSNs - Utilizing Ubiquitous Resources." In Dynamic Wireless Sensor Networks. John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118761977.ch8.

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Oteafy, Sharief M. A., and Hossam S. Hassanein. "Evolution of Wireless Sensor Networks." In Dynamic Wireless Sensor Networks. John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118761977.ch1.

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Oteafy, Sharief M. A., and Hossam S. Hassanein. "Future Directions in Sensor Networks." In Dynamic Wireless Sensor Networks. John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118761977.ch10.

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Oteafy, Sharief M. A., and Hossam S. Hassanein. "Resilience and Post-Deployment Maintenance." In Dynamic Wireless Sensor Networks. John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118761977.ch3.

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Oteafy, Sharief M. A., and Hossam S. Hassanein. "Current Hindrances in WSNs." In Dynamic Wireless Sensor Networks. John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118761977.ch4.

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Oteafy, Sharief M. A., and Hossam S. Hassanein. "Cloud-Centric WSNs." In Dynamic Wireless Sensor Networks. John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118761977.ch5.

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Oteafy, Sharief M. A., and Hossam S. Hassanein. "The Resource-Reuse WSN Paradigm." In Dynamic Wireless Sensor Networks. John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118761977.ch6.

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Oteafy, Sharief M. A., and Hossam S. Hassanein. "Component-Based WSNs: A Resilient Architecture." In Dynamic Wireless Sensor Networks. John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118761977.ch7.

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Oteafy, Sharief M. A., and Hossam S. Hassanein. "Realizing a Synergetic WSN Architecture for All Resources." In Dynamic Wireless Sensor Networks. John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118761977.ch9.

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Conference papers on the topic "Dynamic Wireless Sensor Networks"

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Dorn, Christian, Christof Pfannenmüller, Jasmin Gabsteiger, Thomas Kurin, Fabian Lurz, and Amelie Hagelauer. "Dynamic Antenna Impedance Tuning for Sub-GHz Systems." In 2025 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNeT). IEEE, 2025. https://doi.org/10.1109/wisnet63956.2025.10905013.

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Madhag, Aqeel, and Jongeun Choi. "Distributed Navigation Strategy of Mobile Sensor Networks With Probabilistic Wireless Communication Links." In ASME 2015 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/dscc2015-9964.

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Mobile sensor networks have been widely used to predict spatio-temporal physical phenomena for various scientific and engineering applications. To accommodate the realistic models of mobile sensor networks, we incorporated probabilistic wireless communication links based on packet reception ratio (PRR) with distributed navigation. We then derived models of mobile sensor networks that predict Gaussian random fields from noise-corrupted observations under probabilistic wireless communication links. For the given model with probabilistic wireless communication links, we derived the prediction err

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BARKA, Kamel, Lyamine GUEZOULI, and Assem REZKI. "UAV’s enhanced data collection for heterogeneous wireless sensor networks." In International Conference on Mechanical, Automotive and Mechatronics Engineering. ECER, 2023. http://dx.doi.org/10.53375/icmame.2023.253.

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In this article, we propose a protocol called DataGA-DRF (a protocol for Data collection using a Genetic Algorithm through Dynamic Reference Points) that collects data from Heterogeneous wireless sensor networks. This protocol is based on DGA (Destination selection according to Genetic Algorithm) to control the movement of the UAV (Unmanned aerial vehicle) between dynamic reference points that virtually represent the sensor node deployment. The dynamics of these points ensure an even distribution of energy consumption among the sensors and also improve network performance. To determine the bes

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Gholami, Mohammad, and Robert W. Brennan. "An Agent-Based System to Simulate Dynamic and Noisy Ambience of Industrial Wireless Sensor Networks." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-46797.

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In this paper, we propose a multi-agent systems approach for wireless sensor node tracking in an industrial environment. The research builds on extant work on wireless sensor node clustering by reporting on the development of a set of simulation models to support our distributed management approach for tracking mobile nodes in a large-scale industrial wireless sensor network. Our simulation models build on models and concepts from the literature on wireless sensor networks and wireless communication, with adaptations to address the needs of an industrial environment. An example of mobile node

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Medenica, Igor, Miloš Jovanović, Slobodan Subotić, and Dragan Lazić. "Implementation of ZigBee technology in the process of sensor calibration in wireless sensor network systems." In 11th International Scientific Conference on Defensive Technologies - OTEX 2024. Military Technical Institute, Belgrade, 2024. http://dx.doi.org/10.5937/oteh24120m.

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The compatibility of sensor functionality requires periodic calibration in an accredited laboratory. The calibration process involves temporarily disconnecting the sensor from operation, performing necessary preparations, and determining the sensor's condition. As a solution to improving the calibration process, the use of mesh networks is presented to avoid disconnecting sensors from active states. Using ZigBee technology, all sensors are represented through nodes with specific functions in the network. Information exchange occurs wirelessly among all nodes in the network, which are involved

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Benrebbouh, Chahrazed, and Lemia Louail. "Dynamic TDMA for Wireless Sensor Networks." In 2021 30th Wireless and Optical Communications Conference (WOCC). IEEE, 2021. http://dx.doi.org/10.1109/wocc53213.2021.9602892.

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Dazhi Zhang and Donggang Liu. "DataGuard: Dynamic data attestation in wireless sensor networks." In Networks (DSN). IEEE, 2010. http://dx.doi.org/10.1109/dsn.2010.5544307.

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Lombriser, Clemens, Mihai Marin-Perianu, Raluca Marin-Perianu, Daniel Roggen, Paul Havinga, and Gerhard Troster. "Organizing Context Information Processing in Dynamic Wireless Sensor Networks." In 2007 3rd International Conference on Intelligent Sensors, Sensor Networks and Information. IEEE, 2007. http://dx.doi.org/10.1109/issnip.2007.4496821.

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Xue Wang, Sheng Wang, and Daowei Bi. "Dynamic sensor nodes selection strategy for wireless sensor networks." In 2007 International Symposium on Communications and Information Technologies. IEEE, 2007. http://dx.doi.org/10.1109/iscit.2007.4392188.

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Chen Yi, Yang Qing, Ruan Yunxing, and Gao Ge. "Dynamic control policy for wireless sensor networks." In 2008 International Conference on Communications, Circuits and Systems (ICCCAS). IEEE, 2008. http://dx.doi.org/10.1109/icccas.2008.4657834.

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Reports on the topic "Dynamic Wireless Sensor Networks"

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Dafflon, Baptiste, S. Wielandt, S. Uhlemann, et al. Revolutionizing observations and predictability of Arctic system dynamics through next-generation dense, heterogeneous and intelligent wireless sensor networks with embedded AI. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1769774.

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Lee, A. P., C. F. McConaghy, J. N. Simon, W. Benett, L. Jones, and J. Trevino. Sensor modules for wireless distributed sensor networks. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/15005723.

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Raghavendra, Cauligi S., and Viktor K. Prasanna. Distributed Signal Processing in Wireless Sensor Networks. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada437824.

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Berry, Nina M., and Teresa H. Ko. On computer vision in wireless sensor networks. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/919195.

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Davis, William B. Graphical Model Theory for Wireless Sensor Networks. Office of Scientific and Technical Information (OSTI), 2002. http://dx.doi.org/10.2172/833692.

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Stephenson, Andrew J. Sinkhole Avoidance Routing in Wireless Sensor Networks. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada554671.

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Liu, Donggang. Secure and Robust Clustering in Wireless Sensor Networks. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada500585.

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Cybenko, George, Dorothy Gramm, and Walter Gramm. Instrumentation for Wireless Agent Networks and Sensor Webs. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada405520.

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Liang, Qilian. Energy Efficient Wireless Sensor Networks Using Fuzzy Logic. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada434605.

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Liang, Qilian. Energy Efficient Wireless Sensor Networks Using Fuzzy Logic. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada419061.

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