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  • 标题:Energy Efficient, Integrity Preserving and Secure Data Aggregation Technique for Wireless Sensor Network
  • 本地全文:下载
  • 作者:Shrijana Pradhan ; Kalpana Sharma
  • 期刊名称:International Journal of Security and Its Applications
  • 印刷版ISSN:1738-9976
  • 出版年度:2015
  • 卷号:9
  • 期号:6
  • 页码:43-52
  • DOI:10.14257/ijsia.2015.9.6.05
  • 出版社:SERSC
  • 摘要:Wireless sensor network consists of several resources constrained sensor nodes that are positioned in distant and un-navigable areas to monitor and sense various environmental conditions in the areas of interest. The sensor nodes arrange themselves into a network with the help of routing protocols. The sensor nodes instead of communicating the information individually to the base station, the information is sent to the transient cluster head, further it is communicated to the base station after computation. This is done to reduce the energy utilization incurred by the communication over head. In order to efficiently manage the energy level of cluster head, the cluster head should be well equipped with suitable computation processes that generate appropriate quality information to be communicated to the base station. Such computational processes are referred to as aggregation techniques. This paper proposes a refined data aggregation technique that aims at reducing the energy consumption at the same time preserving integrity and increasing security of aggregated data based on statistical approaches.
  • 关键词:Wireless Sensor Network (WSN); Cluster Based Approach (CBA); data ; aggregation; cluster; mean; variance and standard deviation
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