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  • 标题:Configuration of Mobile Communication in Data-Intensive WSNS
  • 本地全文:下载
  • 作者:Jamalapoor Venkatesh ; B. Pallavi
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2014
  • 卷号:13
  • 期号:4
  • 页码:166-170
  • 出版社:Seventh Sense Research Group
  • 摘要:Wireless Sensor Networks (WSNs) are more and more used dataintensive purpose such as microclimate observing, accuracy agriculture, and video/ audio scrutiny. A key defy faced by dataintensive WSNs is to broadcast all the data produce within an application’s duration to the bottom posting regardless of the fact that sensor nodes have imperfect power supplies. We recommend using lowcost throwaway mobile convey to decrease the energy utilization of WSNs which are dataintensive. From previous work our approach differs in couple of main features. First, it does not necessitate complex activity arrangement of mobile nodes, then it gone be execute on a count of cheep mobile sensor hoisted area. Second, we incorporate the energy expenditure due to both mobility and wireless diffusion into a framework which is holistic optimization. Our framework contains of 3 key algorithms. The first algorithm work out an optimal routing tree supercilious no nodes can move. The second algorithm get better the topology of the routing tree by avariciously adding new nodes make use of mobility of the recently added nodes. The third algorithms perk up the tree which is routing one by repositioning its nodes without varying its topology. This algorithm which is iterative joins the every node optimal positions for specified the restriction that there will be no change in routing tree topology. We explore resourceful distributed implementations for each algorithm that involve only restricted, localize synchronization. Cause of there is no mandatory calculate an optimal topology, our ultimate routing tree is not mandatory of optimal. Though, our recreation results show that our algorithms extensively outperform the best offered solutions.
  • 关键词:Configuration of Mobile Communication in Data-Intensive WSNS
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