基于三维感知模型的WMSNs最优空间覆盖研究

无线多媒体传感器网络(WMSNs)的覆盖问题的研究成果大多基于二维感知模型.对于视频节点而言,二维感知模型无法准确地描述其感知范围,监测平面上方的空间通常会被遗漏.因此,提出了空间覆盖的概念,并重新定义了三维感知模型.通过分离两个影响空间覆盖的因素——视频传感器俯仰角和偏向角,采用粒子群优化算法对一重空间覆盖率进行优化.并结合实际应用需求,提出了有效空间覆盖率的概念,保证了对监测目标的有效视频信息收集.最后,通过仿真实验优化,网络的空间覆盖程度得到了明显提高,证明了优化算法的有效性.

3D Sensing Model Based Optimal Space-Coverage Research for WMSNs

The majority of the researches about the coverage problem of wireless multi-media sensor networks(WMSNs) are based on 2D sensing model. For video nodes， 2D sensing model cannot describe their sensing range precisely， and the space above the monitoring horizon is generally omitted. Thus， the concept of space coverage was proposed， and a new 3D sensing model was defined. By separating the two factors pitch angles and deflection angles which can seriously influence the space coverage， the Particle Swarm Optimization (PSO) was employed for optimizing the 1-space coverage. By considering the requirements of practical applications， the concept of efficient space coverage was proposed here， which can guarantee the efficient video collection of monitoring targets. At last， the degree of space coverage is significantly improved by means of simulation， which proves the proposed optimization efficient.