期刊文献+

基于信噪比-虚拟力算法的水下传感网络节点移动策略研究 被引量:2

Research on Mobile Strategy for Nodes in Underwater Wireless Sensor Networks Based on the SINR Virtual Force Algorithm
下载PDF
导出
摘要 针对水下传感器网络节点移动过程中造成网络拓扑结构变化导致的节点能耗不均衡、网络吞吐量和生存时间下降的问题,提出一种基于信噪比的虚拟力算法。首先,考虑水下网络信道传输特性,构建信道信噪比数学模型;然后,以信噪比和节点度双指标修正传统虚拟力模型,讨论节点移动策略;最后,建立数值仿真环境验证移动策略的有效性。结果显示:相比于传统节点移动策略,本文所提出的移动策略可以有效提升网络吞吐量,延长网络生存时间。 For the problem of the uneven node energy consumption,the decline of network throughput and survival time caused by variable network topology in the nodes movement of Underwater Wireless Sensor Network.A virtual force algorithm basedon signal-tonoise ratio is proposed.Firstly,the channel transmission characteristic of underwater network is considered to establish the channel signal-to-noise ratio(SNR)mathematical model.Then the traditional virtual forcemodel is modified by SNR and node degree to determine the node mobility strategy of the UWSN.Finally,a numerical simulation environment is established to verify the effectiveness of the mobile strategy.The simulation results show that the node mobile strategy proposed can effectively improve the network throughput and prolong the network lifetime comparing with the traditional node mobility strategies.
作者 杨海波 赵克华 祝云凯 YANG Haibo;ZHAO Kehua;ZHU Yunkai(Zhejiang Shuren University,College of Information,Hangzhou 310015,China;Zhejiang Hangjia Technology Development Co.Ltd,Hangzhou 310010,China)
出处 《传感技术学报》 CAS CSCD 北大核心 2019年第11期1745-1749,1755,共6页 Chinese Journal of Sensors and Actuators
基金 浙江省科技厅重大科技专项(2015C01033) 浙江省公益基金项目(LGF19F010006)
关键词 水下传感网络 信道模型 虚拟力 移动策略 underwater wireless sensor networks channel access virtual force algorithm mobile strategy
  • 相关文献

参考文献5

二级参考文献53

  • 1李石坚,徐从富,吴朝晖,潘云鹤.面向目标跟踪的传感器网络布局优化及保护策略[J].电子学报,2006,34(1):71-76. 被引量:24
  • 2刘丽萍,王智,孙优贤.无线传感器网络部署及其覆盖问题研究[J].电子与信息学报,2006,28(9):1752-1757. 被引量:58
  • 3周彤,洪炳镕,朴松昊.基于虚拟力的混合感知网节点部署[J].计算机研究与发展,2007,44(6):965-972. 被引量:28
  • 4GHOSH A,DAS S K.Coverage and connectivity issues in wireless sensor networks:A survey[J].Pervasive and Mobile Computing,2008,4(3):303-334.
  • 5WANG B,LIM H B,MA D.A survey of movement strategies for improving network coverage in wireless sensor networks[J].Computer Communications,2009,32(13-14):1427-1436.
  • 6TAN G,JARVIS S A,KERMARREC A.Connectivityguaranteed and obstacle-adaptive deployment schemes for mobile sensor networks[J].IEEE Transactions on Mobile Computing,2009,8(6):836-848.
  • 7GUPTA P,KUMAR P R.The capacity of wireless networks[J].IEEE Transactions on Information Theory,2000,46(2):388-404.
  • 8KANG C,CHEN J H.Multi-objective evolutionary optimization of 3D differentiated sensor network deployment[C].Proceedings of the llth Annual Conference Companion on Genetic and Evolutionary Computation Conference (GECCO09),Montreal,Québec,Canada,2009:2059-2064.
  • 9WANG X,WANG S,MA J.Dynamic deployment optimization in wireless sensor networks[J].Lecture Notes in Control and Information Sciences,2006,344:182-187.
  • 10MAO G Q,FIDAN B,ANDERSON B D.O.Wireless sensor network localization techniques[J].Computer Networks,2007,51 (10):2529-2553.

共引文献96

同被引文献21

引证文献2

二级引证文献3

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