摘要
动态视觉传感器网络目标覆盖研究中把目标点看成一个质心,而实际中存在物体直径可能大于视频节点半径、质心模型不适用的情况,针对此提出了一种新的动态视觉传感器目标物体覆盖率问题。基于此问题同时结合有向感知模型,提出有向线性感知模型,并基于该模型使用改进的粒子群优化算法对物体覆盖率进行仿真优化。仿真结果表明了该模型的有效性。
This paper proposed a new target coverage problem in the dynamic vision sensor networks.The target is usually regarded as a centroid,actually the target diameter may be larger than the sensor radius.Therefore the centroid modal is not suitable any more.To solve this problem,proposed a direction adjustable linear model,which was basic on direction adjustable sensing model.Combined with this modal,also used PSO algorithm to optimize the coverage probability.The simulation results validate its effectiveness.
出处
《计算机应用研究》
CSCD
北大核心
2010年第5期1708-1710,共3页
Application Research of Computers
基金
国家自然科学基金资助项目(60973095)
关键词
动态视觉传感器网络
目标覆盖
有向线性感知模型
粒子群
dynamic vision sensor networks
target coverage
direction adjustable linear model
particle swarm optimization
