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  • 标题:Improving Energy efficiency in Clustered Wireless Sensor Networks
  • 本地全文:下载
  • 作者:Kiran Kumar V ; Vinayaka K S ; Swaroop M
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2015
  • 卷号:3
  • 期号:4
  • DOI:10.15680/ijircce.2015.0304138
  • 出版社:S&S Publications
  • 摘要:One of the most critical issues in designing wireless sensor network is to minimize the energyconsumption and increase longevity. In Wireless Sensor Network, data fusion can reduce data redundancy amongsensed data and optimal sensor routing algorithm can provide strategy for data gathering with as minimum energy aspossible. We combined data fusion and clustering method together to reduce the energy.In this paper we propose K-means algorithm for clustering. We design a novel routing algorithm called anAdaptive algorithm(AA) for energy efficient data gathering in sensor network that optimizes data transmission cost andthe data fusion cost. Simulation result is given for the proposed protocol with K-means Algorithm. Simulation resultshows that AA achieves better performance than MFST.
  • 关键词:K-means Algorithm; Data fusion; Data Aggregation; MFST and AA
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