2013 · 34 citations · 14 references
ComputingComputer ScienceComputer NetworksDistributed SystemsWireless CommunicationsCluster ArchitectureDistributed AlgorithmsDistributed ComputingDistributed Sensor NetworksSensor NetworksWireless Sensor NetworksCluster-based NetworkingClusteringDistributed ClusteringReal-world ApplicationResidual Energy ControlResidual Energy DissipationScalable Sensor NetworksTopology Control
Wireless sensors and wireless sensor networks have come up to the forefront of the scientific community freshly. Clustering is a flourishing topology control approach, which can lengthen the lifetime and raise scalability for wireless sensor networks. The most well-liked criterion for distributed clustering methodology is to choose cluster heads with more residual energy and to rotate them occasionally. Sensors at very heavy traffic locations swiftly deplete their energy resources and die in advance, leaving behind the network to collapse. The use of these sensors and the likelihood of organizing them into networks have discovered many research issues and have highlighted innovative ways to cope with certain problems. In this paper, the perception of distributed clustering mechanism has been elaborated elegantly and different areas where such distributed clustering methodology could be put to use in emerging real world wireless sensor network applications have been compiled and discussed.
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Ian F. Akyildiz, Weilian Su, Yogesh Sankarasubramaniam · IEEE Communications Magazine · 2002 · 13.7K citations
Alberto Cerpa, Jeremy Elson, Michael Hamilton et al. · 2001 · 934 citations