期刊文献+

传感网中带有可控阈值的优化协同覆盖算法 被引量:2

Optimization Cooperative Coverage Algorithm with Controllable Threshold-Parameters in WSNs
下载PDF
导出
摘要 传统型的无线传感器网络(WSNs)覆盖受限于节点能量和数据冗余,迫使WSNs异常中断。为此,提出一种带有可控阈值的优化协同覆盖算法(OCC-CT)。该算法首先确定关注目标节点(FTNs)的位置信息,利用遗传算法(GA)给出了节点路径规划;其次,通过可控阈值参数和变异参数等特性对事件域节点成簇进行优化,使之节点成簇更为均匀,以减少节点能量的消耗,提升对全局目标节点的搜索能力;再次,利用适应函数对所覆盖目标位置及节点监测范围所形成的覆盖连续性进行优化,达到了提高网络覆盖率和延长网络生存周期的目的。最后,仿真实验结果表明,OCC-CT算法与其他三种算法相比在网络覆盖率、网络生存周期等方面平均提升了0.11、0.16,在网络能量开销方面提升了0.14,从而进一步验证了OCC-CT算法具有较强的稳定性和有效性。 The coverage of traditional wireless sensor networks(WSNs)is limited by node energy and data redundancy,forcing WSNs to be interrupted abnormally.To this end,a novel optimization cooperative coverage algorithm with controllable threshold-parameters(OCC-CT)is proposed.The algorithm first determines the location information of the focus target nodes(FTNs),and uses the genetic algorithm(GA)to give the node path planning.Second,the controllable threshold parameters and mutation parameters are used to control event domain nodes.Clustering is optimized to make the clustering of the nodes more uniform,so as to reduce the energy consumption of the nodes and improve the search ability of the global target nodes.Third,the adaptation function is used to cover the continuity of the covered target locations and the monitoring range of the nodes.Optimization is performed to achieve the goals of increasing network coverage and extending the network lifetime.Finally,simulation results show that the OCCCT algorithm,compared with other three algorithms in this paper,improves 0.11 and 0.16 on average in terms of network coverage,network lifetime,and 0.14 in terms of network energy overhead,thereby further verifying OCCCT algorithm has strong stability and effectiveness.
作者 孙泽宇 李传锋 邢萧飞 来纯晓 SUN Zeyu;LI Chuanfeng;XING Xiaofei;LAI Chunxiao(School of Computer Science and Information Engineering,Luoyang Institute of Science and Technology,Luoyang,Henan 471023,China;School of Information Engineering,Henan Institute of Science and Technology,Xinxiang,Henan 453003,China;School of Computer Science and Cyber Engineering,Guangzhou University,Guangzhou 510006,China)
出处 《计算机科学与探索》 CSCD 北大核心 2021年第5期893-906,共14页 Journal of Frontiers of Computer Science and Technology
基金 国家自然科学基金河南省联合基金(U1604149) 河南省教育厅自然科学基金(19A520006) 河南省科技厅科技攻关项目(212102210374) 河南省自然科学面上基金(202300410286)。
关键词 无线传感器网络(WSNs) 可控阈值参数 优化协同覆盖 覆盖率 网络生存周期 wireless sensor networks(WSNs) controllable threshold-parameters optimization cooperative coverage coverage rate network lifetime
  • 相关文献

参考文献5

二级参考文献35

  • 1崔莉,鞠海玲,苗勇,李天璞,刘巍,赵泽.无线传感器网络研究进展[J].计算机研究与发展,2005,42(1):163-174. 被引量:730
  • 2高建良,徐勇军,李晓维.基于加权中值的分布式传感器网络故障检测(英文)[J].软件学报,2007,18(5):1208-1217. 被引量:38
  • 3曹冬磊,曹建农,金蓓弘.一种无线传感器网络中事件区域检测的容错算法[J].计算机学报,2007,30(10):1770-1776. 被引量:29
  • 4XING Xiaofei, WANG Guojun, LI Jie. Collaborative target tracking in wireless sensor networks [J].Ad- hoc and Sensor Networks, 2014, 23(8): 117-135.
  • 5YANG Changlin, CHIN Kwanwu. Novel algorithm for complete targets coverage in energy harvesting wireless sensor networks [J].IEEE Communications Letters, 2014, 18(1): 118-121.
  • 6AMMARI H M, DAS S K. Centralized and clustered k-coverage protocols for wireless sensor networks [J]. IEEE Transactions on Computers, 2012, 61(1): 118- 132.
  • 7SEOK J H, LEE J Y, KIM W, et al. A bipopulation- based evolutionary algorithm for solving full area cov- erage problems[J].IEEE Sensors Journal, 2014, 13 (12) :4796-4807.
  • 8YANG Changlin, CHIN K W. Novel algorithms for complete targets coverage in energy harvesting wireless sensor networks [J]. IEEE Communications Letters, 2014, 18(1): 118-121.
  • 9MINI S, UDGATE S, SABAT S. Sensor deployment and scheduling for target coverage problem in wireless sensor networks [J]. IEEE Sensors Journal, 2014, 14 (3) : 636-644.
  • 10CHENG T M, SAVKIN A V. A distributed self- deployment algorithm for the coverage of mobile wire- less sensor networks [J]. IEEE Communications Let- ters, 2009, 13(11): 877-879.

共引文献34

同被引文献19

引证文献2

二级引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部