一种面向三维感知的无线多媒体传感器网络覆盖增强算法  

Coverage-Enhancing Algorithm for Wireless Multi-Media Sensor Networks Based on Three-Dimensional Perception

作　　者：肖甫[1,2,3] 王汝传[1,2,3] 孙力娟[1,2,3] 翁娇艳[1] 

机构地区：[1]南京邮电大学计算机学院,江苏南京210003 [2]江苏省无线传感网高技术研究重点实验室,江苏南京210003 [3]宽带无线通信与传感网技术教育部重点实验室,江苏南京210003

出　　处：《电子学报》2012年第1期167-172,共6页Acta Electronica Sinica

基　　金：国家自然科学基金(No.61003236;No.61003039;No.60973139;No.61170065;No.61171053;No.61103195);教育部博士点基金(No.20103223120007);江苏省自然科学基金(No.BK2011755);江苏省科技支撑计划(No.BE2010197;No.BE2010198);高校科研成果产业化推进项目(No.JH10-14;No.JHB2011-9);江苏高校科技创新计划项目(No.CX10B-196Z;No.CX10B-197Z;No.CX10B-198Z;No.CX10B-199Z;No.CX10B-200Z);江苏省计算机信息处理技术重点实验室基金(No.KJS1022);江苏高校优势学科建设工程资助项目

摘　　要：覆盖作为无线传感器网络中的基础问题直接反映了网络感知服务质量.本文在分析现有无线多媒体传感器网络覆盖增强算法的基础上,构建节点三维感知模型,提出面向三维感知的多媒体传感器网络覆盖增强算法(Three-Dimensional Perception Based Coverage-Enhancing Algorithm,TDPCA).该算法将节点主感知方向划分为仰俯角和偏向角,并根据节点自身位置及监测区域计算并调整各节点最佳仰俯角,在此基础上基于粒子群优化调整节点偏向角,从而有效减少节点感知重叠区及感知盲区,最终实现监测场景的区域覆盖增强.仿真实验表明:对比已有的覆盖增强算法,TDPCA可有效降低除节点感知重叠区和盲区,最终实现网络的高效覆盖.Coverage is one of the hot research topics in wireless sensor networks, which indicates sensing QoS by wireless sensor networks. Motivated by the existing coverage-enhancing algorithm of wireless multimedia sensor network, a new three dimen- sional sensor perception model is established and a coverage-enhancing algorithm based this model （TDPCA） is proposed. This al- gorithm divided the three-dimensional perception model into pitch angle and deviation angle, thus the best optimal pitch angle is cal- culated according the location of monitoring area and nodes, and then deviation angle is optimized based on particle swarm optimiza- tion, which eliminate overlap and blind perception area effectively. Experimental results show that compared with the existing three- dimensional cover-enhancing algorithm in wireless sensor network, sensation overlap area and blind spots may be eliminated by TD- PCA, and thus ultimate coverage performance of the wireless sensor network can be enhanced.

关 键 词：无线多媒体传感器网络 三维感知模型 覆盖增强 粒子群优化 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]