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dc.contributor.authorCharalambous, Charalambos D.en
dc.contributor.authorCui, S.en
dc.creatorCharalambous, Charalambos D.en
dc.creatorCui, S.en
dc.description.abstractWireless sensor networks have emerged in strategic applications such as target detection, localization, and tracking, where the large scale renders centralized control prohibitive. In addition, the finite batteries of the nodes demand energyaware network control. In this article we propose an energy-efficient topology management model inspired by biological intercell signaling schemes, which allows sensor nodes to form clusters around imminent targets in a purely distributed and autonomous fashion. In particular, nodes in the target vicinity collaborate to form a cluster according to their relative observation quality values, based on a bioinspired lateral induction process. Subsequently, the clustered nodes compete according to their energy levels until some of them gain active status while the rest remain idle, based on a bio-inspired lateral inhibition process. A final phase of the model has the active cluster members compete until one of them becomes the clusterhead, again based on the lateral inhibition process. We examine the behavior of such a network control flow in both finite-size and infinite-size networks. Specifically, we show that the proposed model is inherently stable and discuss its convergence for networks of finite size. Furthermore, we discuss the asymptotic behavior when the number of nodes goes to infinity, where we study the average number of active cluster members. © 2006 IEEE.en
dc.sourceIEEE Networken
dc.subjectSignal processingen
dc.subjectAsymptotic behaviorsen
dc.subjectAverage numbersen
dc.subjectBiologically inspireden
dc.subjectCentralized controlen
dc.subjectCluster headen
dc.subjectEnergy efficienten
dc.subjectEnergy levelen
dc.subjectEnergy-aware networksen
dc.subjectFinite sizeen
dc.subjectForm clustersen
dc.subjectInduction processen
dc.subjectLateral inhibitionen
dc.subjectNetwork controlen
dc.subjectNetworking modelen
dc.subjectQuality valueen
dc.subjectRelative observationen
dc.subjectSensor networksen
dc.subjectSensor nodesen
dc.subjectTarget detectionen
dc.subjectTelecommunication equipmenten
dc.subjectTopology managementen
dc.subjectWireless sensor networksen
dc.titleA biologically inspired networking model for wireless sensor networksen
dc.description.endingpage13Πολυτεχνική Σχολή / Faculty of EngineeringΤμήμα Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών / Department of Electrical and Computer Engineering
dc.source.abbreviationIEEE Networken
dc.contributor.orcidCharalambous, Charalambos D. [0000-0002-2168-0231]

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