Literatura académica sobre el tema "Distributed sensors networks"
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Artículos de revistas sobre el tema "Distributed sensors networks"
Bao, Xi Rong, Yue Huang y Shi Zhang. "A Distributed Motion Algorithm for Mobile Sensor in Hybrid Wireless Sensor Networks". Applied Mechanics and Materials 719-720 (enero de 2015): 812–17. http://dx.doi.org/10.4028/www.scientific.net/amm.719-720.812.
Texto completoPatan, Maciej. "Distributed scheduling of sensor networks for identification of spatio-temporal processes". International Journal of Applied Mathematics and Computer Science 22, n.º 2 (1 de junio de 2012): 299–311. http://dx.doi.org/10.2478/v10006-012-0022-9.
Texto completoSingh, Mitali y Viktor K. Prasanna. "A HIERARCHICAL MODEL FOR DISTRIBUTED COLLABORATIVE COMPUTATION IN WIRELESS SENSOR NETWORKS". International Journal of Foundations of Computer Science 15, n.º 03 (junio de 2004): 485–506. http://dx.doi.org/10.1142/s012905410400256x.
Texto completoVeeravalli, Venugopal V. y Pramod K. Varshney. "Distributed inference in wireless sensor networks". Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 370, n.º 1958 (13 de enero de 2012): 100–117. http://dx.doi.org/10.1098/rsta.2011.0194.
Texto completoZareei, Mahdi, Cesar Vargas-Rosales, Mohammad Hossein Anisi, Leila Musavian, Rafaela Villalpando-Hernandez, Shidrokh Goudarzi y Ehab Mahmoud Mohamed. "Enhancing the Performance of Energy Harvesting Sensor Networks for Environmental Monitoring Applications". Energies 12, n.º 14 (20 de julio de 2019): 2794. http://dx.doi.org/10.3390/en12142794.
Texto completoRamezani, Tayebeh y Tahereh Ramezani. "A Distributed Method to Reconstruct Connection in Wireless Sensor Networks by Using Genetic Algorithm". Modern Applied Science 10, n.º 6 (10 de abril de 2016): 50. http://dx.doi.org/10.5539/mas.v10n6p50.
Texto completoShin, Huicheol, Yongjae Kim, Seungjae Baek y Yujae Song. "Distributed Learning for Dynamic Channel Access in Underwater Sensor Networks". Entropy 22, n.º 9 (7 de septiembre de 2020): 992. http://dx.doi.org/10.3390/e22090992.
Texto completoAerts, Sam, Günter Vermeeren, Matthias Van den Bossche, Reza Aminzadeh, Leen Verloock, Arno Thielens, Philip Leroux et al. "Lessons Learned from a Distributed RF-EMF Sensor Network". Sensors 22, n.º 5 (22 de febrero de 2022): 1715. http://dx.doi.org/10.3390/s22051715.
Texto completoZhao, Bingya y Ya Zhang. "Transmission rate conditions for distributed filtering in sensor networks against eavesdropper". Transactions of the Institute of Measurement and Control 43, n.º 12 (25 de abril de 2021): 2757–67. http://dx.doi.org/10.1177/01423312211005607.
Texto completoWANG, BANG. "SENSOR PLACEMENT FOR COMPLETE INFORMATION COVERAGE IN DISTRIBUTED SENSOR NETWORKS". Journal of Circuits, Systems and Computers 17, n.º 04 (agosto de 2008): 627–36. http://dx.doi.org/10.1142/s0218126608004575.
Texto completoTesis sobre el tema "Distributed sensors networks"
Mehrotra, Shashank. "Distributed Algorithms for Tasking Large Sensor Networks". Thesis, Virginia Tech, 2001. http://hdl.handle.net/10919/33975.
Texto completoMaster of Science
Wang, Yu. "A Low-Complexity Distributed Architecture for Wireless Sensors Networks". Thesis, University of Essex, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.504839.
Texto completoFeitosa, Allan Eduardo. "Classification techniques for adaptive distributed networks and aeronautical structures". Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/3/3142/tde-05022019-104746/.
Texto completoEsta dissertação de mestrado é o resultado de um trabalho colaborativo entre a EMBRAER e a Escola Politécnica da USP no estudo de técnicas de monitoramento do estado de saúde de estruturas (Structural Health Monitoring - SHM) utilizando sensores em estruturas aeronáuticas. O objetivo foi desenvolver técnicas de classificação para discriminar entre diferentes eventos que surgem em estruturas aeronáuticas durante testes; para o curto prazo, aperfeiçoando o atual sistema de SHM utilizado pela EMBRAER, baseado em emissão acústica e, no longo prazo, fomentando o desenvolvimento de um sistema completamente distribuído. Como resultado do estudo de métodos de classificação para uso imediato, desenvolvemos duas técnicas: a Similaridade Espectral e um classificador que utiliza Support Vector Machines (SMV). Ambas as técnicas são soluções não-supervisionadas, devido a natureza não rotulada dos dados fornecidos. As duas soluções foram entregues como um produto final para a EMBRAER para pronta utilização em seu atual sistema de SHM. Ao estudar soluções completamente distribuídas para futuras implementações, desenvolvemos um algoritmo de detecção baseado em técnicas adaptativas. O principal resultado foi uma inicialização especial para um detector de máxima verossimilhança (maximum likelihood - ML) que possui uma taxa de decaimento exponencial na probabilidade de erro até um valor não nulo em regime estacionário, utilizando estimação adaptativa em uma rede distribuída. Os nós que compõem a rede devem decidir, localmente, entre duas hipóteses concorrentes com relação ao estado do ambiente onde eles estão inseridos, utilizando medidas locais e estimativas compartilhadas vindas de nós vizinhos. O desempenho exponencial não depende do valor do passo de adaptação, se este for suficientemente pequeno. Os resultas referentes a este detector distribuído foram publicados na revista internacional IEEE Signal Processing Letters.
Chatterjea, Supriyo. "Distributed and self-organizing data management strategies for wireless sensors networks a cross-layered approach /". Enschede : University of Twente [Host], 2008. http://doc.utwente.nl/59799.
Texto completoKaraaslan, 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.
Texto completoMurukesvan, Abhinash. "Distributed Overlays in Wireless Sensor Networks". Thesis, KTH, Kommunikationssystem, CoS, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-92202.
Texto completoapplikation och användar differentiering i trådlösa sensor nätverk. En hierarkisk arkitekturbestående av kraftfullare sensor noder omgiven av mindre kraftfulla sensor noder jämförsmed en platt arkitektur bestående av lika kraftfulla sensor noder. I båda arkitekturer existerarett logiskt lager ovanpå stacken som kopplar noder beroende på applikation och användare,helt oberoende av geografisk placering. Utöver det, bör en nyckel management schema användas till att distribuera nycklar tillnoderna för säker kommunikation och att bibehålla dessa slutna grupper.
Lin, Erwei Kam Moshe. "Detection in distributed sensor networks /". Philadelphia, Pa. : Drexel University, 2005. http://hdl.handle.net/1860/1303.
Texto completoGao, Huaien. "Distributed learning in sensor networks". Diss., lmu, 2009. http://nbn-resolving.de/urn:nbn:de:bvb:19-96120.
Texto completoMORBEE, MARLEEN. "Optimized information processing in resource-constrained vision systems. From low-complexity coding to smart sensor networks". Doctoral thesis, Universitat Politècnica de València, 2011. http://hdl.handle.net/10251/12126.
Texto completoMorbee, M. (2011). Optimized information processing in resource-constrained vision systems. From low-complexity coding to smart sensor networks [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/12126
Palancia
Boschian, Valentina. "Models and Methods for Multi-Actor Systems". Doctoral thesis, Università degli studi di Trieste, 2012. http://hdl.handle.net/10077/7431.
Texto completoThe study of the models and methods to apply to multi-actor systems is a widely discussed research topic in the related scientific literature. The multi-actor systems are defined as systems that are characterized by the presence of several autonomous elements, of different decision makers and of complex rules that allow the communication, the coordination and the connection of the components of such systems. Commonly, the study of Multi-Actor System, MAS, recalls the well-known issues concerning the multi-agent systems. The research topic related to the multi-agent system firstly started to appear in scientific literature in 1980s, mainly in relation to the computer science and artificial intelligence. In this dissertation, in particular, the study of the multi-agent systems, and specifically of the multi-actor systems, is taken into account merely in relation to the distinctive features of complexity that characterize such systems and not to the issues concerning the agent-oriented software engineering. Therefore, the research results presented in this thesis are focused on the development and on the realization of innovative models and methodologies to face the management and the decision making mechanisms applied to complex multi-actor systems. This dissertation especially focuses on two different examples of multi-actor systems in two very diverse perspectives. The former deals with the research problem related to intermodal transportation networks, while the latter with the so called consensus problem in distributed networks of agents. Concerning the research problem related to the intermodal logistic systems, the research activity addresses the management of their more and more increasing complexity by the applications of the modern Information and Communication Technologies (ICT) tools that are key solutions to achieve the efficiency and to enhance logistics competitiveness. The related scientific literature still seems lacking in addressing with adequate attention the impact of these new techniques on the management of these complex systems and, moreover, there is an apparent lack of a systematic and general methodology to describe in detail the multiplicity of elements that can influence the dynamics and the corresponding information and decision making structure of intermodal transportation systems. The innovative results presented in this dissertation are focused on the development of an Integrated System, IS, devoted to manage intermodal transportation networks at the tactical as well as operational decision level to be used by decision makers both in off-line planning and real time management. To specify the Integrated System, a reference model is developed relying on a top-down metamodeling procedure. These innovative research results are a contribution to bridge the gap and to propose not only a systematic modeling approach devoted to describe a generic multi-actor logistic system, but also a management technique based on a closed loop strategy. The second example of application is focused on a topic that is widely discussed in scientific literature related to the study of the multi-actor collective behaviors in a distributed network. The interaction protocols that allow the agents to reach the convergence to a common value is called consensus or agreement problem. This research problem is particularly studied in the context of cooperative control of multi-agent systems because the agents are autonomous, independent and have to interact in a distributed network. The presented research results address the investigation of new and fast alignment protocols that enhance the performances of the standard iteration protocols for particular topologies of digraphs on the basis of a triangular splitting of the standard iteration matrix. The examined examples, the models and the methodologies applied to analyze them, are very different in the two cases and this testifies the large extent of research problems related to the multi-actor systems.
L’analisi di modelli e metodi da sviluppare e da applicare nel contesto dei sistemi multi-attoriali costituisce un tema molto variegato e discusso nella letteratura scientifica internazionale. I sistemi multi-attoriali sono sistemi che si contraddistinguono per la presenza di molti elementi autonomi diversi tra loro, di molteplici decisori e di complesse regole che determinano la comunicazione, il coordinamento e la connessione all'interno di tali sistemi. Frequentemente, facendo riferimento a sistemi multi-attoriali, Multi-Actor Systems, si richiama il tema molto attuale dei sistemi multi agente, Multi-Agent Systems. Diffusisi a partire dal 1980, i sistemi multi agente sono spesso studiati in relazione alle metodologie di sviluppo dell'ingegneria del software. Nel presente lavoro di tesi, il tema dei sistemi multi-agente, ed in particolare di quelli multi-attoriali, non viene analizzato in questo contesto, ma in relazione alle tecniche decisionali da adottare per gestire sistemi caratterizzati da un alto livello di complessità. In tale ambito, i risultati presentati all'interno di questa dissertazione sono focalizzati sullo sviluppo e sulla realizzazione di nuovi metodi e di nuove metodologie, in grado di affrontare la gestione della complessità dei sistemi multi-attoriali. Vengono in particolare esaminate due diverse problematiche, in due contesti completamente diversi e con tecniche differenti, a testimoniare le vaste applicazioni che riguardano i sistemi multi-attoriali. I problemi analizzati sono incentrati, in primo luogo, su un'applicazione inerente la gestione di sistemi logistici intermodali ed, in secondo luogo, sullo studio delle regole o protocolli di interazione in una rete distribuita di agenti autonomi. Per quanto riguarda l'aspetto legato ai sistemi intermodali di trasporto, un tema molto discusso nella letteratura scientifica recente, l'analisi si focalizza sulla gestione della loro sempre crescente complessità, tramite l'utilizzo di sistemi dell'Information and Communication Technology, ICT. Questi strumenti richiedono metodi e modelli che sono innovativi rispetto a quanto è presente nella letteratura scientifica, all'interno della quale è stata riscontrata la mancanza di un approccio sistematico e sufficientemente ad alto livello per la realizzazione di una metodologia in grado di descrivere allo stesso tempo sia la molteplicità di elementi che influenzano le dinamiche e le informazioni, sia le strutture decisionali dei sistemi intermodali. L'innovazione dei risultati presentati in questa tesi si focalizza proprio sull'esigenza di proporre un sistema integrato, Integrated System (IS), basato su un metamodello delle reti intermodali di trasporto, che fornisca un valido supporto ai decisori sia a livello tattico che operativo. Il secondo aspetto affrontato in questa tesi riguarda un altro argomento di largo ed attuale interesse nella letteratura scientifica, che viene comunemente chiamato problema del consenso. Questo problema affronta lo studio di come diversi agenti autonomi collocati su una rete distribuita siano in grado di comunicare e di accordarsi su un valore comune, senza la presenza di un decisore centrale. A questo scopo ci sono degli algoritmi che specificano le regole o protocolli di interazione tra i diversi agenti. In tale contesto, i risultati proposti si focalizzano su alcune problematiche rappresentate dal protocollo classico del consenso e soprattutto sulla sua scarsa efficienza in particolari conformazioni delle reti di agenti. Il lavoro di tesi propone, quindi, un approccio di suddivisione, splitting, della matrice standard di iterazione, di tipo triangolare, che presenta notevoli vantaggi in termini di performance rispetto all'algoritmo classico. Lo studio di problemi multi-attoriali, pertanto, richiede lo sviluppo di innovative metodologie decisionali e di nuovi metodi di gestione delle comunicazioni, per rispondere al livello sempre crescente di complessità, offrendo in questo modo alcuni spunti molto interessanti per la ricerca.
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Libros sobre el tema "Distributed sensors networks"
Distributed sensor networks. 2a ed. Boca Raton: Chapman and Hall/CRC, 2013.
Buscar texto completoN, Kulchin Yuri, Society of Photo-optical Instrumentation Engineers. Russian Chapter. y Society of Photo-optical Instrumentation Engineers., eds. Distributed fiber optical sensors and measuring networks: Selected papers on distributed fiber optical sensors and measuring networks, 1999-2000. Bellingham, Wash: SPIE, 2001.
Buscar texto completoLesser, Victor, Charles L. Ortiz y Milind Tambe, eds. Distributed Sensor Networks. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0363-7.
Texto completoBhanu, Bir, Chinya V. Ravishankar, Amit K. Roy-Chowdhury, Hamid Aghajan y Demetri Terzopoulos, eds. Distributed Video Sensor Networks. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-127-1.
Texto completoDistributed video sensor networks-research challenges and future directions workshop (2009 : Riverside, Calif.), ed. Distributed video sensor networks. London: Springer, 2011.
Buscar texto completoDistributed sensor networks: Sensor networking and applications. 2a ed. Boca Raton: Chapman & Hall/CRC, 2013.
Buscar texto completoname, No. Distributed sensor networks: A multiagent perspective. Boston, MA: Kluwer Academic Publishers, 2003.
Buscar texto completoIyengar, Sitharama S., Kianoosh G. Boroojeni y N. Balakrishnan. Mathematical Theories of Distributed Sensor Networks. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4419-8420-3.
Texto completoLesser, Victor. Distributed Sensor Networks: A Multiagent Perspective. Boston, MA: Springer US, 2003.
Buscar texto completoVictor, Lesser, Ortiz Charles L y Tambe Milind 1965-, eds. Distributed sensor networks: A multiagent perspective. Boston: Kluwer Academic Publishers, 2003.
Buscar texto completoCapítulos de libros sobre el tema "Distributed sensors networks"
Sastry, Srikanth, Tsvetomira Radeva, Jianer Chen y Jennifer L. Welch. "Reliable Networks with Unreliable Sensors". En Distributed Computing and Networking, 281–92. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17679-1_25.
Texto completoHsu, Yin-Chung, Yen-Ting Chen y Chiu-Kuo Liang. "Distributed Coverage-Enhancing Algorithms in Directional Sensor Networks with Rotatable Sensors". En Distributed Computing and Networking, 201–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-25959-3_15.
Texto completoBartos, Karel y Martin Rehak. "Distributed Self-organized Collaboration of Autonomous IDS Sensors". En Dependable Networks and Services, 113–17. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30633-4_14.
Texto completoCecílio, José y Pedro Furtado. "Planning for Distributed Control Systems with Wired and Wireless Sensors". En Computer Communications and Networks, 67–82. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02889-7_7.
Texto completoLeone, Pierre, Sotiris Nikoletseas y José Rolim. "An Adaptive Blind Algorithm for Energy Balanced Data Propagation in Wireless Sensors Networks". En Distributed Computing in Sensor Systems, 35–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11502593_6.
Texto completoCecílio, José y Pedro Furtado. "Latency Modeling for Distributed Control Systems with Wired and Wireless Sensors". En Computer Communications and Networks, 51–66. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02889-7_6.
Texto completoWright, Rebecca N., Zhiqiang Yang y Sheng Zhong. "Distributed Data Mining Protocols for Privacy: A Review of Some Recent Results". En Secure Mobile Ad-hoc Networks and Sensors, 67–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11801412_7.
Texto completoKieffer, Michel. "Distributed Bounded-Error Parameter and State Estimation in Networks of Sensors". En Numerical Validation in Current Hardware Architectures, 189–202. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01591-5_12.
Texto completoLiu, Guiyun, Jing Yao, Hongbin Chen, Han Zhang y Dong Tang. "Symmetric Game for Distributed Estimation in Energy Harvesting Wireless Sensor Networks with Selfish Sensors". En Algorithms and Architectures for Parallel Processing, 344–52. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27161-3_30.
Texto completoGhorbel, Oussama, Mohamed Wassim Jmal, Mohamed Abid y Hichem Snoussi. "Distributed and Efficient One-Class Outliers Detection Classifier in Wireless Sensors Networks". En Lecture Notes in Computer Science, 259–73. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22572-2_19.
Texto completoActas de conferencias sobre el tema "Distributed sensors networks"
Licht, Torsten y Abhijit Deshmukh. "Hierarchically Organized Bayesian Networks for Distributed Sensor Networks". En ASME 2002 International Mechanical Engineering Congress and Exposition. ASMEDC, 2002. http://dx.doi.org/10.1115/imece2002-33217.
Texto completoDavies, D. E. N. "Optical Fibre Distributed Sensors And Sensor Networks". En 1985 International Technical Symposium/Europe, editado por Herve J. Arditti y Luc B. Jeunhomme. SPIE, 1986. http://dx.doi.org/10.1117/12.951137.
Texto completoMunteanu, Adrian, Eli De Poorter y Leander Hendrikx. "Distributed barcode tracking in visual sensor networks". En 2017 IEEE SENSORS. IEEE, 2017. http://dx.doi.org/10.1109/icsens.2017.8234160.
Texto completoTolba, Fatiha Djemili, Wessam Ajib y Abdellatif Obaid. "Distributed clustering algorithm for mobile wireless sensors networks". En 2013 IEEE Sensors. IEEE, 2013. http://dx.doi.org/10.1109/icsens.2013.6688565.
Texto completoWu, Zekun, Qirui Wang, Andrei V. Gribok y Kevin P. Chen. "Pipeline Degradation Evaluation Based on Distributed Fiber Sensors and Convolutional Neural Networks (CNNs)". En Optical Fiber Sensors. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/ofs.2022.w4.41.
Texto completoMao Ching Foo, Hock Beng Lim, Y. Zeng, Vinh The Lam, R. Teo y Gee Wah Ng. "Impact of Distributed Resource Allocation in Sensor Networks". En 2005 International Conference on Intelligent Sensors, Sensor Networks and Information Processing. IEEE, 2005. http://dx.doi.org/10.1109/issnip.2005.1595558.
Texto completoZhang, Zaixuan, Insoo S. Kim, Jianfeng Wang, Haiqi Feng, Ning Guo, Xiangdong Yu, Honglin Liu, Xiaobiao Wu y Yohee Kim. "Distributed optical fiber sensors system and networks". En Distributed Fiber Optical Sensors and Measuring Networks, editado por Yuri N. Kulchin. SPIE, 2001. http://dx.doi.org/10.1117/12.417885.
Texto completoGarcia Morchon, Oscar y Heribert Baldus. "Efficient distributed security for wireless medical sensor networks". En 2008 International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP). IEEE, 2008. http://dx.doi.org/10.1109/issnip.2008.4761995.
Texto completoKardan, Ahmad y Mohammad Kajbaf. "Distributed Broadcast Minimum Spanning Tree (reliable version)". En 2007 3rd International Conference on Intelligent Sensors, Sensor Networks and Information. IEEE, 2007. http://dx.doi.org/10.1109/issnip.2007.4496925.
Texto completoQi Hao, Fei Hu y Jiang Lu. "Distributed multiple human tracking with wireless binary pyroelectric infrared (PIR) sensor networks". En 2010 Ninth IEEE Sensors Conference (SENSORS 2010). IEEE, 2010. http://dx.doi.org/10.1109/icsens.2010.5690895.
Texto completoInformes sobre el tema "Distributed sensors networks"
Ratmanski, Kiril y Sergey Vecherin. Resilience in distributed sensor networks. Engineer Research and Development Center (U.S.), octubre de 2022. http://dx.doi.org/10.21079/11681/45680.
Texto completoLacoss, Richard T. Distributed Sensor Networks. Fort Belvoir, VA: Defense Technical Information Center, septiembre de 1986. http://dx.doi.org/10.21236/ada204719.
Texto completoLacoss, Richard T. Distributed Sensor Networks. Fort Belvoir, VA: Defense Technical Information Center, septiembre de 1985. http://dx.doi.org/10.21236/ada163866.
Texto completoLacoss, Richard T. Distributed Sensor Networks. Fort Belvoir, VA: Defense Technical Information Center, marzo de 1986. http://dx.doi.org/10.21236/ada176132.
Texto completoLee, A. P., C. F. McConaghy, J. N. Simon, W. Benett, L. Jones y J. Trevino. Sensor modules for wireless distributed sensor networks. Office of Scientific and Technical Information (OSTI), febrero de 1999. http://dx.doi.org/10.2172/15005723.
Texto completoPark, Vincent D. y Joseph P. Macker. Protocol Considerations for Distributed Sensor Networks. Fort Belvoir, VA: Defense Technical Information Center, diciembre de 2000. http://dx.doi.org/10.21236/ada389300.
Texto completoRaghavendra, Cauligi S. y Viktor K. Prasanna. Distributed Signal Processing in Wireless Sensor Networks. Fort Belvoir, VA: Defense Technical Information Center, agosto de 2005. http://dx.doi.org/10.21236/ada437824.
Texto completoChair, Zelneddine y Pramod K. Varshney. On Hypothesis Testing in Distributed Sensor Networks. Fort Belvoir, VA: Defense Technical Information Center, noviembre de 1987. http://dx.doi.org/10.21236/ada195910.
Texto completoSim, Leng K., David H. Gerstman y V. A. Nguyen. The Distributed Unattended Networked Sensors Field Experiment. Fort Belvoir, VA: Defense Technical Information Center, noviembre de 2000. http://dx.doi.org/10.21236/ada390611.
Texto completoZhu, Sencun, Guohong Cao y Peng Liu. Distributed Self-healing Mechanisms for Securing Sensor Networks. Fort Belvoir, VA: Defense Technical Information Center, febrero de 2010. http://dx.doi.org/10.21236/ada518946.
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