分散场地多障碍环境下有向视频传感器网络覆盖优化算法研究

Optimization algorithm for coverage optimization of directed video sensor networks in multi-obstacle environments in decentralized sites

摘要

在工程施工过程中，采用有向视频传感器进行资源感知有助于了解现场资源情况，从而在应对突发情况时可以做出策略调整，但当处于多障碍环境中，资源感知效率往往较低。针对宜昌两网工程场地分散以及多障碍环境的特点，需要研究分散场地多障碍环境下有向视频传感器网络覆盖优化算法，提升现场关键资源感知能力。采用有向传感器概率感知模型，进行多障碍节点优化、节点往复运动优化、边界问题优化及虚拟受力优化，考虑节点位置的可变性，提出分散场地多障碍环境下有向视频传感器网络覆盖优化算法。试验结果表明：算法优化后网络覆盖率提高12.03%,该算法对网络覆盖率提升更高，对不同参数的有向视频传感器有更好的适用性。优化算法对于不同环境以及不同参数的有向视频传感器的适用性更强，可为宜昌两网工程实际中监控摄像头的部署提供参考，有助于提升宜昌两网工程现场监控网络的覆盖率。

Abstract

In the process of engineering construction, the use of directed video sensors for resource sensing helps to understand the site resource situation, so that strategic adjustments can be made in response to emergencies, but when in a multi-obstacle environment, the resource sensing efficiency is low. Aiming at the characteristics of Yichang two-network project with scattered sites and multi-obstacle environment, it is necessary to study the optimization algorithm of directed video sensor network coverage under scattered sites and multi-obstacle environment to improve the ability of key resource sensing in the field. Using the probabilistic sensing model of directed sensors, multi-obstacle node optimization, node reciprocating motion optimization, boundary problem optimization and virtual force optimization, and considering the variability of node positions, we propose the optimization algorithm for the coverage of directed video sensor networks in a decentralized site with multi-obstacle environments. The experimental result show that the algorithm is optimized to improve the network coverage by 12.03%, which is a higher enhancement of network coverage and better applicability to directed video sensors with different parameters.The optimization algorithm is more applicable to different environments as well as different parameters of directed video sensors, which can provide a reference for the deployment of surveillance cameras in the actual Yichang two-network project, and help to improve the coverage of the surveillance network in the site of the Yichang two-network project.

关键词

宜昌两网工程 / 有向视频传感器 / 资源感知 / 网络覆盖算法

Key words

Yichang two-network project / directed video sensor / resource sensing / network coverage algorithm

Author summay

胡 伟(1974—), 男, 正高级工程师, 学士, 主要从事工程建设管理研究。E-mail: hu_ [e-mail]

基金资助

国家自然科学基金项目(52309166)

中国长江三峡集团有限公司科研项目(202103551)