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  • 标题:Genetic Algorithm Based Clustering for Large-Scale Sensor Networks
  • 本地全文:下载
  • 作者:Hai Lin ; Ruoshan Kong ; Jiali Liu
  • 期刊名称:Cybernetics and Information Technologies
  • 印刷版ISSN:1311-9702
  • 电子版ISSN:1314-4081
  • 出版年度:2015
  • 卷号:15
  • 期号:6
  • DOI:10.1515/cait-2015-0077
  • 出版社:Bulgarian Academy of Science
  • 摘要:Despite the success of various clustering algorithms for Wireless Sensor Networks (WSNs), there are few works that consider the interference between clusters. Obviously, interference-free clustering makes the communication more efficient and achieves energy saving. In this paper we propose a new clustering method for large-scale sensor networks. With this method the network is partitioned into clusters. Intra-cluster communication in a cluster has no interference by its neighbor clusters. Moreover, the proposed clustering is based on a Genetic Algorithm (GA), which can achieve optimal performance in terms of the number of isolated nodes. This is demonstrated by the simulation analysis.
  • 关键词:Clustering; genetic algorithm; interference-free; WSN.
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