基于免疫算法的无线传感网络覆盖研究  

Research on Wireless Sensor Network Coverage Based on Immune Algorithm

作　　者：马敬思 史旭华[1] 何婷婷[1] 李潇[1] 

机构地区：[1]宁波大学信息科学与工程学院,浙江宁波315211

出　　处：《移动通信》2015年第6期70-75,共6页Mobile Communications

基　　金：浙江省自然科学基金(LY14F030004)

摘　　要：普遍研究的无线传感器模型有0-1感知、概率感知模型。前者不够准确,偏理想化;后者符合实际,但冗余较多,计算量偏大。采用混合感知模型,通过搭建无线传感网络(WSN)的网格数学模型,用免疫多目标算法对其进行优化,理论分析及仿真结果均表明该模型具有可行性和优良的覆盖性能。Traditional wireless sensor models include 0-1 perception model and probabilistic sensing model. The former is idealized and not accurate enough. In contrast, the latter gets closer to the real result, but suffers from huge computation. A mixed perception model adopted in this paper, by building a wireless sensor network （WSN） grid mathematical model, the model is optimized by means of multi-objective immune algorithm. Theoretical analysis and simulation results show that the model has satisfactory feasibility and excellent coverage.

关 键 词：传感器模型 混合感知模型 网络覆盖 免疫多目标 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]