Telecommunications Science ›› 2018, Vol. 34 ›› Issue (5): 39-49.doi: 10.11959/j.issn.1000-0801.2018146

• research and development • Previous Articles     Next Articles

Coverage scheduling algorithm of mobile sensor nodes for optimizing network lifetime

Haibo YANG1,Yourong CHEN1,Banteng LIU1,Yunkai ZHU2,Ziyi SU1   

  1. 1 College of Information Science and Technology,Zhejiang Shuren University,Hangzhou 310015,China
    2 Zhejiang Hangjia Technology Development Co.,Ltd.,Hangzhou 310015,China
  • Revised:2018-04-08 Online:2018-05-01 Published:2018-05-30
  • Supported by:
    浙江省科技厅重大科技专项计划基金资助项目(The Major Scienceand Technology Special Project of Zhejiang Scienceand Technology Department);国家自然科学基金资助项目(The National Natural Science Foundation of China);浙江省公益性技术应用研究计划基金资助项目(Zhejiang Provincial Public Welfare Technology Applicationand Research Project of China);浙江省公益性技术应用研究计划基金资助项目(Zhejiang Provincial Public Welfare Technology Applicationand Research Project of China);浙江省自然科学基金资助项目(Zhejiang Provincial Natural Science Foundation of China)

Abstract:

In order to solve the coverage blind problem caused by deployment and failure of heterogeneous static sensor nodes,a coverage scheduling algorithm of mobile sensor nodes for optimizing network lifetime (CSA) was proposed.CSA considerd heterogeneous perceived radius of static sensor nodes and calculates the location of mobile sensor nodes based on the information of neighbor static sensor nodes.According to the location reported by static sensor nodes,coverage scheduling model was established.Heuristic solution method was proposed,to solve the scheduling model,and optimal location of mobile sensor nodes was obtained.The simulation results show that CSA can improve regional coverage and the number of survival static sensor nodes,improve network lifetime and reduce energy consumption of average static sensor nodes.Under certain conditions,CSA is better than Mno,MNode and MGrid algorithms.

Key words: wireless sensor network, heterogeneous sensor node, movement scheduling, network coverage

CLC Number: 

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