吉林大学学报(工学版) ›› 2015, Vol. 45 ›› Issue (6): 1941-1945.doi: 10.13229/j.cnki.jdxbgxb201506030

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面向可靠感知的传感网节点部署优化算法

刘军1， 程良伦1，2， 王涛1， 王建华1   

  1. 1.广东工业大学 自动化学院,广州 510006;
    2. 广东工业大学 计算机学院,广州 510006
  • 收稿日期:2014-03-25 出版日期:2015-11-01 发布日期:2015-11-01
  • 作者简介:刘军(1986-),男,博士研究生.研究方向:控制科学与工程,传感器网络,物联网,信息物理融合系统.E-mail:liujun7700@163.com
  • 基金资助:
    国家自然科学基金广东联合基金重点项目(U1201251); 广东省自然科学基金研究团队项目(8351009001000002); 广东省自然科学基金博士科研启动项目(S2012040006666)

Nodes deployment optimization algorithm for reliable sense in sensor networks

LIU Jun1, CHENG Liang-lun1,2, WANG Tao1, WANG Jian-hua1   

  1. 1.School of Automation,Guangdong University of Technology,Guangzhou 510006, China;
    2.School of Computer,Guangdong University of Technology,Guangzhou 510006, China
  • Received:2014-03-25 Online:2015-11-01 Published:2015-11-01

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摘要： 首先推导出确定部署时基于V剖分感知误差最小,定义各个节点分区的覆盖权值。然后基于感知节点覆盖权值和虚拟力思想提出了一种部署优化算法,在确保感知不确定性最小化的同时保证网络连通性。最后仿真比较了在不同节点密度以及不同事件优先级下算法的部署性能,结果表明,本文提出的部署算法相比于其他算法能够有效地实现对热点区域的优化部署,保证较小的感知误差。

关键词: 自动控制技术, 移动传感器网络, 事件区域, 覆盖权值

Abstract: In this paper, first, it is deduced that the sensor uncertainty is minimum with Voronoi partition; a node coverage weight by priority function of event area is defined. Then a nodes deployment optimization algorithm is proposed based on node coverage weight and virtual force. It guarantees the connectivity of network while the sensing uncertainty is minimal. Finally, computer simulation is carried to compare the deployability of the proposed algorithm with other algorithms under different node densities and different event priorities. Simulation results show that the proposed deployment algorithm is quick and effective with smaller sensing uncertainty compared with other deployment algorithms. Also the proposed algorithm has strong robustness.

Key words: automatic control technology, mobile sensor network, event area, coverage weight

中图分类号: 

  • TP393.04
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