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  • 标题:A NOVEL SWARM INTELLIGENCE BASED ENERGY EFFICIENT PROTOCOL FOR WIRELESS SENSOR NETWORKS
  • 本地全文:下载
  • 作者:SUPREET KAUR ; RAJIV MAHAJAN
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2017
  • 卷号:95
  • 期号:22
  • 页码:6108
  • 出版社:Journal of Theoretical and Applied
  • 摘要:Energy efficiency has recently turned out to be primary issue in wireless sensor networks. Sensor networks are battery powered, therefore become dead after a certain period of time. Thus, improving the data dissipation in energy efficient way becomes more challenging problem, in order to improve the lifetime for sensor devices. The clustering and tree based data aggregation for sensor networks, can enhance the network lifetime of wireless sensor networks. Hybrid Ant colony optimization (ACO) and particle swarm optimization (PSO) based energy,, efficient clustering and tree based routing protocol is proposed. Initially, clusters are formed on the basis of remaining energy, then, hybrid ACOPSO based data aggregation will come in action to improve the inter-cluster data aggregation further. Extensive analysis demonstrates that proposed protocol considerably enhances network lifetime over other techniques.
  • 关键词:Wireless Sensor Networks; Ant Colony Optimization; Energy Efficient; Particle Swarm Optimization
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