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dc.creatorDimokas, N.en
dc.creatorKatsaros, D.en
dc.creatorManolopoulos, Y.en
dc.date.accessioned2015-11-23T10:25:42Z
dc.date.available2015-11-23T10:25:42Z
dc.date.issued2007
dc.identifier10.1109/ITNG.2007.136
dc.identifier.isbn9780769527765
dc.identifier.isbn769527760
dc.identifier.urihttp://hdl.handle.net/11615/27107
dc.description.abstractThe deployment of wireless sensor networks in many application areas, e.g., aggregation services, requires self-organization of the network nodes into clusters. Quite a lot of node clustering techniques have appeared in the literature, and roughly fall into two families; those based on the construction of a dominating set and those which are based solely on energy considerations. The former family suffers from the fact that only a small subset of the network nodes are responsible for relaying the messages, and thus cause rapid consumption of the energy of these nodes. The later family uses the residual energy of each node in order to direct its decision about whether it will elect itself as a leader of a cluster or not. This family's methods ignore topological features of the nodes and are used in combination with the methods of the former family. We propose a novel distributed clustering protocol for wireless sensor networks, based on a novel metric for characterizing the importance of a node, w.r.t. its contribution in relaying messages. The protocol achieves small communication complexity and linear computation complexity. Experimental results for various sensor network topologies show that the protocol generates only a few clusters, guaranteeing a small number of message relays thus improving network lifetime. © 2007 IEEE.en
dc.source.urihttp://www.scopus.com/inward/record.url?eid=2-s2.0-34548120906&partnerID=40&md5=450eff0f9defcba3c66b058c887c85c1
dc.subjectBackbone formationen
dc.subjectClusteringen
dc.subjectEnergy conservationen
dc.subjectNetwork life-timeen
dc.subjectSensor networksen
dc.subjectClustering algorithmsen
dc.subjectCommunicationen
dc.subjectComputational complexityen
dc.subjectEnergy utilizationen
dc.subjectSelf organizing storageen
dc.subjectNetwork graphen
dc.subjectResidual energyen
dc.subjectWireless sensor networksen
dc.titleNode clustering in wireless sensor networks by considering structural characteristics of the network graphen
dc.typeconferenceItemen


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