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  • 标题:Reverse Game Theory Approach for Aggregator Nodes Selection with Ant Colony Optimization Based Routing in Wireless Sensor Network
  • 本地全文:下载
  • 作者:Bharathi M A ; B P Vijayakumar
  • 期刊名称:International Journal of Computer Science Issues
  • 印刷版ISSN:1694-0784
  • 电子版ISSN:1694-0814
  • 出版年度:2012
  • 卷号:9
  • 期号:6
  • 出版社:IJCSI Press
  • 摘要:The self -configurable, randomly distributed, adhoc technology based wireless sensor networks can be invaluable in various domestic and military applications for collecting, processing and propagating wide range of complex environmental data. Hierarchical routing has been adopted, where clusters of nodes are formulated based on geographical location of nodes and associate node to aggregator node and other aggregator node to sink or aggregator node to aggregator node to sink routing mechanism is followed. The model work "Low Energy Adaptive Clustering Hierarchical (LEACH)", is the leading work in this direction, whereas it is a complete probabilistic model, which does not achieve the tradeoff between power and QoS parameter optimization. We proposed RGT-AGN-ACO-R (Reverse Game Theory based Aggregator Node Selection and Ant Colony Optimization based Routing), In order to maximize life time of the network. The proposed protocol has been simulated, and the life time assessment, power inconsistency, residual power against number of rounds is evaluated and is compared with LEACH. Simulation results shows a remarkable enhancement as compare to LEACH
  • 关键词:Wireless sensor networks; routing; ant colony optimization ;Reverse Game Theory
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