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  • 标题:Admitive Data Aggregation in WSN
  • 本地全文:下载
  • 作者:Gaurav Tiwari ; Archana Khandekar
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2015
  • 卷号:6
  • 期号:1
  • 页码:528-530
  • 出版社:TechScience Publications
  • 摘要:Energy is the most crucial parameter in wireless sensor networks because the life time of network is directly related to residual energy of nodes. And nodes are mostly battery operated. Therefore, data aggregation is the best effective and smart way to maximize the lifetime of wireless sensor networks. Large volume of data is sent from source nodes to sink in WSN and data collection in WSN consumes large amount of energy. So, there are various data aggregation models designed for WSN, mainly cluster based and tree based. Both of these model have some of advantages and disadvantages constrained upon the scenario. This abstract summarizes the proposed work of adaptive and effective solution to overcome the disadvantages of both models depending upon the scenario. The main aim is to increase the lifetime of a wireless sensor network
  • 关键词:Wireless Sensor Network; Data Aggregation;Tree model; Cluster model; Wireless Sensor Node
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