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  • 标题:ARTIFICIAL INTELLIGENCE AND ANT COLONY OPTIMIZATION BASED WIRELESS SENSOR NETWORKS TO MINIMIZE ENERGY OF NETWORK
  • 本地全文:下载
  • 作者:Sneha S. More ; Mininath K. Nighot
  • 期刊名称:Indian Journal of Computer Science and Engineering
  • 印刷版ISSN:2231-3850
  • 电子版ISSN:0976-5166
  • 出版年度:2017
  • 卷号:8
  • 期号:3
  • 页码:452-462
  • 出版社:Engg Journals Publications
  • 摘要:The network lifetime, energy and packet loss are the major concerns in wireless sensornetwork. So for minimizing the energy of network and increasing the network lifetime, the ant colonyoptimization algorithm is proposed. Firstly, the proposed algorithm focuses on two parameters i.e. energyconsumption and network lifetime. In Ant swarm algorithm, EAAR (Energy-aware ant-based routing)and ANTHOCNET (Adaptive nature-inspired algorithm for routing in mobile ad-hoc networks)protocols are used to minimize the energy of overall network and to follow the shortest path to reach thedestination. These protocols are also used to find the number of dead nodes due to which packet lossreduces and network lifetime improves. Lastly, APTEEN protocol with threshold energy finds thenumber of dead nodes by draining threshold energy to 50% and with maximum energy cluster head isselected. Results of EAAR, ANTHOCNET, MMBCR, AODV, APTEEN and proposed protocol (APTEENwith threshold energy) are analyzed in which proposed algorithm shows better results than APTEENprotocol where energy consumption is optimized.
  • 关键词:Artificial Intelligence; ant colony optimization; wireless sensor network; network lifetime
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