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  • 标题:Energy efficient chaotic whale optimization technique for data gathering in wireless sensor network
  • 本地全文:下载
  • 作者:Sridhar R. ; N. Guruprasad
  • 期刊名称:International Journal of Electrical and Computer Engineering
  • 电子版ISSN:2088-8708
  • 出版年度:2020
  • 卷号:10
  • 期号:4
  • 页码:4176-4188
  • DOI:10.11591/ijece.v10i4.pp4176-4188
  • 出版社:Institute of Advanced Engineering and Science (IAES)
  • 摘要:A Wireless Sensor Network includes the distributed sensor nodes using limited energy, to monitor the physical environments and forward to the sink node. Energy is the major resource in WSN for increasing the network lifetime. Several works have been done in this field but the energy efficient data gathering is still not improved. In order to amend the data gathering with minimal energy consumption, an efficient technique called chaotic whale metaheuristic energy optimized data gathering (CWMEODG) is introduced. The mathematical model called Chaotic tent map is applied to the parameters used in the CWMEODG technique for finding the global optimum solution and fast convergence rate. Simulation of the proposed CWMEODG technique is performed with different parameters such as energy consumption, data packet delivery ratio, data packet loss ratio and delay with deference to dedicated quantity of sensor nodes and number of packets. The consequences discussion shows that the CWMEODG technique progresses the data gathering and network lifetime with minimum delay as well as packet loss than the state-of-the-art methods.
  • 关键词:Chaotic tent map;Chaotic whale metaheuristic optimization;Data gathering;Residual energy;WSN
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