测绘通报 ›› 2023, Vol. 0 ›› Issue (4): 87-92,127.doi: 10.13474/j.cnki.11-2246.2023.0109

• 学术研究 • 上一篇    下一篇

顾及视线效应的城市户外传感网络空间布局优化

张笑雨1, 马潇雅1,2   

  1. 1. 长江大学地球科学学院, 湖北 武汉 430100;
    2. 自然资源部城市国土资源监测与仿真重点试验室, 广东 深圳 518034
  • 收稿日期:2022-06-07 修回日期:2023-02-27 发布日期:2023-04-25
  • 通讯作者: 马潇雅。E-mail:xiaoyama@yangtzeu.edu.cn
  • 作者简介:张笑雨(1999—),女,硕士,主要研究方向为智能优化决策。E-mail:zxy_981203@163.com
  • 基金资助:
    国家自然科学基金(41971336)

Spatial optimization model for sensor network planning: considering the line-of-sight coverage in urban outdoor areas

ZHANG Xiaoyu1, MA Xiaoya1,2   

  1. 1. School of Geosciences, Yangtze University, Wuhan 430100, China;
    2. Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural and Resources, Shenzhen 518034, China
  • Received:2022-06-07 Revised:2023-02-27 Published:2023-04-25

摘要: 在选址问题中,部分传感器(如摄像头等)的服务易受建筑物等障碍物的遮挡而无法传播,这种现象通常被定义为视线效应。以最少布设数量和成本实现有效服务覆盖范围最大化,是城市户外传感网络空间布局优化的难点。针对顾及视线效应的空间优化布局问题,本文利用GIS可视分析技术改进经典最大覆盖选址模型,模拟服务覆盖的视线效应,并耦合遗传优化算法实现布局优化,以某城市街区的摄像头空间布局优化问题为例进行验证。结果表明,相较传统未考虑视线效应的选址模型,在试验区内本文模型能够将摄像头传感器的真实有效覆盖范围扩大约52.31%,并有效降低摄像头传感网络的成本。

关键词: 传感器网络, 选址, 视线效应, 最大覆盖问题, 空间优化

Abstract: In the location problems,the services of some sensors (such as surveillance cameras) are not propagated due to the obstruction of obstacles such as buildings,which is typically defined as the line-of-sight (LOS) effect. Maximizing effective service coverage with minimal network deployment and costs is a challenge in the optimization of sensor network planning. In this paper,to consider the LOS effect in the optimization of sensor network,the classical maximal coverage location problem (MCLP) model is improved by a GIS visual analysis technology to simulate the LOS effect of service coverage. And coupled with a genetic optimization algorithm to achieve layout optimization.The developed model in this study is applied to a spatial optimization problem of surveillance cameras in a city block to validate its performance. The experimental results show that our model can significantly improve the effective service coverage of the surveillance sensors by about 52.31% in the study area compared with the comparison optimization model that does not consider the LOS effect.

Key words: sensor network, location, line-of-sight, maximal coverage location problem, spatial optimization

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