[1]张 满,贾云璐,林 杰.基于粒子群的传感器空间覆盖优化方法[J].计算机技术与发展,2021,31(08):204-208.[doi:10. 3969 / j. issn. 1673-629X. 2021. 08. 035]
　ZHANG Man,JIA Yun-lu,LIN Jie.An Approach of Optimizing Sensor Spatial Coverage Based on PSO[J].,2021,31(08):204-208.[doi:10. 3969 / j. issn. 1673-629X. 2021. 08. 035]
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基于粒子群的传感器空间覆盖优化方法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
31
期数:
2021年08期
页码:
204-208
栏目:
应用前沿与综合
出版日期:
2021-08-10

文章信息/Info

Title:
An Approach of Optimizing Sensor Spatial Coverage Based on PSO
文章编号:
1673-629X(2021)08-0204-05
作者:
张 满; 贾云璐; 林 杰
中国工程物理研究院 机械制造工艺研究所,四川 绵阳 621000
Author(s):
ZHANG Man; JIA Yun-lu; LIN Jie
Institute of Machinery Manufacturing Technology,China Academy of Engineering Physics,Mianyang 621000,China
关键词:
传感器网络; 粒子群优化算法; 空间覆盖度; 三维模型; 优化部署
Keywords:
sensor network; particle swarm optimization; spatial coverage; three-dimensional model; optimized deployment
分类号:
TP393
DOI:
10. 3969 / j. issn. 1673-629X. 2021. 08. 035
摘要:
覆盖度作为评价视频监控任务质量的重要指标,如何提升任务区域的监测覆盖度是文中研究的主要问题。 视频监控作为传感器的一种,现有传感器网络覆盖增强方法一般集中于二维平面区域的研究,由于视频监控任务的特殊性,需要对二维平面上方的区域具有较好的监测,所以定义了三维视频传感器在空间中的模型结构,并分离传感器在水平方向上的位置及偏向角与竖直方向上的俯仰角两个方向上的影响因素。 通过传感器自身参数及布置高度优化最佳俯仰角,使得单个视频传感器的可视范围达到最佳。 在此基础上通过粒子群算法优化传感器位置及水平偏向角,从而使得对三维空间内的覆盖度最大化。 通过仿真实验表明,该算法使得空间中的覆盖度显著提高,证明了算法的有效性
Abstract:
Coverage is an important indicator for evaluating the quality of video surveillance tasks. How to improve the surveillance coverage of the task area is the main issue studied in this paper. As a type of video surveillance,the existing sensor network coverage en鄄hancement methods generally focus on the study of the two-dimensional plane area. Due to the particularity of the video surveillance task, the area above the two - dimensional plane requires to be better monitored, therefore we define one model structure of three -dimensional video sensor and separate the influence factors of the sensor in horizontal and vertical direction. By tuning parameters and layout height of sensors to obtain the best pitch angle,a single video sensor can reach the best visual range. On the basis,the position of the sensor and optimization of the horizontal deflection angle is optimized by the particle swarm algorithm,as a result,the maximal coverage of three-dimensional space is obtained. Simulation experiments show that the proposed algorithm significantly improves the coverage in the space,which proves its effectiveness.

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更新日期/Last Update: 2021-08-10