VCA: An Energy-Efficient Voting-Based Clustering Algorithm for Sensor Networks

dc.creatorQin,Min
dc.creatorZimmermann,Roger
dc.date2007
dc.date.accessioned2024-02-06T12:55:05Z
dc.date.available2024-02-06T12:55:05Z
dc.descriptionClustering provides an effective mechanism for energy-efficient data delivery in wireless sensor networks. To reduce communication cost, most clustering algorithms rely on a sensor's local properties in electing cluster heads. They often result in unsatisfactory cluster formations, which may cause the network to suffer from load imbalance or extra energy consumption. In this paper, we propose a novel Voting-based Clustering Algorithm (VCA) for energy-efficient data dissemination in wireless sensor networks. This new approach lets sensors vote for their neighbors to elect suitable cluster heads. VCA is completely distributed, location-unaware and independent of network size and topology. It combines load balancing, energy and topology information together by using very simple voting mechanisms. Simulation results show that VCA can reduce the number of clusters by 5-25% and prolong the lifetime of a sensor network by 10-30% over that of existing energy-efficient clustering protocols.
dc.formattext/html
dc.identifierhttps://doi.org/10.3217/jucs-013-01-0087
dc.identifierhttps://lib.jucs.org/article/28725/
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/9255
dc.languageen
dc.publisherJournal of Universal Computer Science
dc.relationinfo:eu-repo/semantics/altIdentifier/eissn/0948-6968
dc.relationinfo:eu-repo/semantics/altIdentifier/pissn/0948-695X
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsJ.UCS License
dc.sourceJUCS - Journal of Universal Computer Science 13(1): 87-109
dc.subjectsensor network
dc.subjectclustering
dc.subjectcluster head
dc.subjectvoting
dc.subjectenergy-efficient
dc.subjectdata aggregation
dc.titleVCA: An Energy-Efficient Voting-Based Clustering Algorithm for Sensor Networks
dc.typeResearch Article
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