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  • 标题:Cluster Based Approximate Data Collection in Wireless Sensor Network
  • 本地全文:下载
  • 作者:Ashu Gupta ; R.Annie Uthra
  • 期刊名称:International Journal of Electronics and Computer Science Engineering
  • 电子版ISSN:2277-1956
  • 出版年度:2013
  • 卷号:2
  • 期号:2
  • 页码:740-744
  • 出版社:Buldanshahr : IJECSE
  • 摘要:Data collection is a fundamental task in wireless sensor networks. Sensor networks are collection of sensor nodes which cooperatively send sensed data to the base station. As sensor nodes are battery driven, an efficient utilization of power is essential in order to use network for long duration, hence it is needed to reduce data traffic inside sensor networks. In this paper, we are focusing on approximate data collection that will enhance the lifetime of the wireless sensor network. The key idea of Approximate Data collection, is to divide a sensor network into clusters, in which each cluster will have many cluster members and a single cluster head. Each cluster member will have a set of sensed raw data to find out the local approximate data on each cluster member within the cluster, and will send these approximate data to the cluster head. After receiving the local approximate data from all cluster members within the cluster, the cluster head performs the global data approximation, and send this approximate data to the base station.
  • 关键词:Wireless Sensor Network; Approximate Data Collection; Clustering
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