Energy-aware tree routing optimization algorithm for ZigBee networks: a cognitive perspective
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(School of Information Engineering, Northeast Dianli University, Jilin 132012, Jilin, China)

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TP393.1

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    Abstract:

    To improve the problem of failing to well select optimal path for ZigBee Cluster-Tree routing algorithm, ZigBee routing based on Energy-Aware (EZTR) algorithm was proposed. Firstly, using each node perceiving its own address, this algorithm calculated packet forwarding hop-counts that the next hop of node to destination node according to tree structure for avoiding the loop response, by introducing the concept of cognitive for ZigBee network, and selected the shortest routing in hop-counts set to reduce hop-counts. Besides, in order to avoid excessive energy consumption of nodes, which caused nodes to be ineffective, through energy cognitive processing, when there is a low energy nodes selected path, EZTR algorithm timely adopted alternate node. Through comparative analysis of NS2 simulation experiments, packet delivery ratio is improved, hop-counts and average delay are reduced, and network energy consumption is saved, which can provide theoretical support for improving network real-time and extend network lifetime.

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History
  • Received:December 11,2015
  • Revised:
  • Adopted:
  • Online: November 09,2016
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