系统仿真学报 ›› 2015, Vol. 27 ›› Issue (5): 1030-1037.

• 信息、控制、决策与仿真 • 上一篇    下一篇

基于信度势场算法的水下传感网络部署及仿真

张聚伟1,2, 刘亚闯1   

  1. 1.河南科技大学, 洛阳 471023;
    2.西安交通大学, 西安 710049
  • 收稿日期:2014-04-15 修回日期:2014-07-05 出版日期:2015-05-08 发布日期:2020-09-01
  • 作者简介:张聚伟(1978-),男,河南伊川县人,博士,副教授,硕导,研究方向为无线传感器网络、检测技术;刘亚闯(1989-),男,河南长葛市人,硕士生,研究方向为水下传感器网络。
  • 基金资助:
    国家自然科学基金(61040010,61172014,61304144);航空科学基金(20115142005)

Simulation Study of Nodes Deployment of Underwater Sensor Network Based on Reliability Coverage Algorithm

Zhang Juwei1,2, Liu Yachuang1   

  1. 1. Henan University of Science and Technology, Luoyang 471023, China;
    2. Xian Jiaotong University, Xian 710049, China
  • Received:2014-04-15 Revised:2014-07-05 Online:2015-05-08 Published:2020-09-01

摘要: 针对水下传感器网络节点的三维部署,基于D-S证据理论,提出了检测信度信度覆盖的定义,研究了水下传感器网络检测区域信度覆盖的变化,结合感知目标分布的先验概率和被动声呐节点的感知概率模型,提出了基于改进D-S证据理论和先验概率的节点部署算法(NAAEP),将目标感知信度的值转化为虚拟势场中所受的力的大小,根据感知节点在势场中受到合力的大小对节点的位置进行调节。利用MATLAB建立了水下传感器网络仿真模型,通过仿真实验验证了算法的有效性:该算法能够有效减少部署节点,减少节点能耗,扩大检测范围,提高网络的检测性能。

关键词: 水下传感器网络, 信度覆盖, D-S证据理论, 节点部署

Abstract: For 3D nodes-deployment of the underwater sensor networks, the definitions of detection reliability and reliability coverage was proposed. According to the advanced D-S theory of evidence, the change of reliability coverage in underwater sensor networks' detection area was analyzed, and a Nodes-deployment Algorithm Based on Advanced D-S Theory of Evidence and Prior Probability (NAAEP) combining with the prior probability of target nodes distribution was proposed. The value of the target perceived reliability was transformed into a virtual potential field force that a node was suffered in size, and the position of the nodes was adjusted according to the force that nodes were suffered in potential field. Simulation model of underwater sensor networks was established using MATLAB. The simulation results show the effectiveness of the algorithm, energy consumption and the number of deployment nodes is reduced, and the scope of perceiving is expanded. As a result, NAAEP can improve the detection performance of the network.

Key words: underwater sensor network, reliability coverage, D-S theory of evidence, nodes deployment

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