无线传感器网络的信息收益函数研究  

Performance Analysis on Information Utility Function in Wireless Sensor Networks

作　　者：王权[1] 王睿[1,2] 梁彦[1] 潘泉[1] 

机构地区：[1]西北工业大学自动化学院 [2]中国科学院计算技术研究所,北京100080

出　　处：《系统仿真学报》2007年第24期5812-5817,共6页Journal of System Simulation

基　　金：国家自然科学基金重点项目(60634030)

摘　　要：信息获取与能量节省的平衡优化是无线传感器网络研究的热点问题,通过信息收益函数可以有效地解决这一问题。然而信息收益函数的性能受到网络特性和算法特性的影响,很难给出较为完备的参数设计、性能评价和选用原则。以动态协同自组织算法在目标跟踪中的应用为例,选取一些典型信息收益函数在此算法下进行分析与仿真,通过设计评价指标,优化参数设计,给出详细的性能评价,并对其鲁棒性进行分析,最后给出应用场合的选用原则,以提高网络的综合性能优化。The optimal tradeoff between the information gain and the energy saving is a hot issue in the field of wireless sensor networks, and through the information utility function （IUF） is one effective method of achieving the optimization. However, none all-round analysis of the characteristics and accurate choosing rules of the IUF has been given in previous work. The application of the dynamic collaborative algorithm in target tracking was set up as an example and some typical IUFs were selected to make analysis and simulation using the algorithm, and a guide for optimal parameter design, an all-round evaluation of its performance and an analysis of its robustness were provided by the evaluation indexes, as well as its choosing rules differing with application backgrounds, which is of great importance for improving the integral optimization of the network performance.

关 键 词：无线传感器网络 信息收益函数 自组织 信息感知 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]