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  • 标题:An Efficient Data Aggregation Scheme and Cluster Optimization in Wireless Sensor Networks
  • 本地全文:下载
  • 作者:R.Mehala ; Dr.A.Balamurugan
  • 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:3
  • DOI:10.15680/ijircce.2015.0303048
  • 出版社:S&S Publications
  • 摘要:Wireless Sensor Networks is a collection of sensor nodes with sensing, computation and communicationcapabilities. The sensor nodes are capable of receiving data from the monitoring environment. The sensed data shouldbe gathered efficiently from the sensor nodes and is routed to base station through fixed path. The QoS metrics such asBandwidth, Latency, Data accuracy, Throughput can also affect the performance of the network lifetime. The effectivesolution to address this challenge is to utilize the sink node’s mobility to facilitate the data gathering .This techniquecan reduce energy consumption of the sensor nodes. The usage of mobile sink presents additional challenges such asdetermining the sink node’s trajectory and cluster formation prior to data collection. Network lifetime is an importantissue in an energy constrained sensor networks. The most widely used Expectation maximization (EM) algorithm isused for clustering process and to compute the optimal number of clusters in the network. One of the main problem isthe implementation of flooding diffusion which is used to forward interest and discover the routing map that reducesnetwork lifetime and data latency through high energy consumption by the use of AODV(Ad hoc on demand distancevector )routing .
  • 关键词:Expectation Maximization; AODV; Gaussian mixture model
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