文章基本信息

标题：PROBABILITY SENSING MODEL BASED ENHANCEMENT OF COVERAGE FOR VIDEO SENSOR NETWORKS
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作者：Zhang Ju-Wei，Li Na ; Wu Ning-Ning ; Shi Jingzhuo 等
期刊名称：International Journal on Smart Sensing and Intelligent Systems
印刷版ISSN：1178-5608
出版年度：2016
卷号：9
期号：3
页码：1341-1361
出版社：Massey University
摘要：With the foundation of the video probabilistic sensing model that sensing direction issteerable, the study on path coverage enhancement algorithm for video sensor networks has beenimproved, analysis the position of effective center of mass in the sensor’s model, the networkcalculates the gravitation between the target track points and the trace nodes, and the repulsiveforce between both trace nodes of the target track points, then the trace node adjusts its sensedirection, make the probability of the target track points which is perceived by the sensor networkequals or exceeds the perception threshold. The simulation result shows that, this improvedalgorithm has make further improvement on the perception of the target which is move in thecoverage area, it uses more fewer directional video nodes, but the video sensor networks is fully andhigh effectively covering the target trajectory.
关键词：Probability sensing model; video sensor nodes; virtual force