计算机科学 ›› 2019, Vol. 46 ›› Issue (11A): 369-375.

• 网络与通信 • 上一篇    下一篇

一种单目标路径覆盖分区动态优化算法

蒋一波, 王伟, 何成龙   

  1. (浙江工业大学计算机科学与技术学院 杭州310023)
  • 出版日期:2019-11-10 发布日期:2019-11-20
  • 作者简介:蒋一波(1982-),男,博士,副教授,主要研究方向为计算机网络控制与管理、无线传感网络监控系统,E-mail:jyb106@zjut.edu.cn。
  • 基金资助:
    本文受国家自然科学基金项目(61402415)资助。

Sub-regional Dynamic Optimization Algorithm for Path Coverage of Single Target

JIANG Yi-bo, WANG Wei, HE Cheng-long   

  1. (College of Computer Science and Technology,Zhejiang University of Technology,Hangzhou 310023,China)
  • Online:2019-11-10 Published:2019-11-20

摘要: 目标检测是无线传感器网络的一个重要应用。在目标检测过程中,用户在获取目标丰富的图像信息的基础上,对目标的路径覆盖情况更为关注。针对单目标在整个运动路径中均能被K级覆盖且传感器分布密度达到最小这一问题,首先结合有向感知模型和单目标位置数学预测模型,给出了传感器在理论上的最小分布密度,然后设计了单目标路径覆盖分区动态优化算法。该算法依据传感器自身与目标的距离,将整个监控区域中的传感器分为外部传感器、中部传感器和内部传感器,对每类传感器分别实施不同的旋转决策。仿真结果表明,提出的算法与现有的算法相比,有效地降低了监控区域中传感器的分布成本。

关键词: 分布密度, 路径覆盖, 无线传感器网络, 旋转决策

Abstract: Target detection is an important application of wireless sensor networks.In the process of target detection,users pay more attention to the path coverage of the target on the basis of obtaining rich image information of the target.Aiming at the problem that a single target can be covered by the K-level and the sensor distribution density is minimized in the whole motion path,firstly,the theoretical minimum distribution density of the sensor was proposed by combining the directed distribution model and the single-target position mathematical prediction model.Secondly,the sub-regional dynamic optimization algorithm for path coverage of single target was designed.According to the distance between the sensor and the target,the sensors in the entire monitoring area is divided into external sensors,middle sensors and internal sensors by the algorithm to implement different rotation decisions for each type of sensor.The results of simulation show that compared with the existing algorithms,the proposed algorithm can effectively reduce the distribution cost of sensors in the monitoring area.

Key words: Distribution density, Path coverage, Rotation decision, Wireless sensor network

中图分类号: 

  • TP393
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