一种基于数据融合的传感器网络部署策略  

A Deployment Strategy Based on Data Fusion in Wireless Sensor Networks

作　　者：马超[1] 史浩山[1] 李延晓[1,2] 严国强[1] 

机构地区：[1]西北工业大学电子信息学院,西安710072 [2]空军工程大学电讯工程学院,西安710077

出　　处：《传感技术学报》2011年第2期283-287,共5页Chinese Journal of Sensors and Actuators

基　　金：教育部博士点基金项目(20050699037)

摘　　要：针对确定性部署问题,提出了一种基于数据融合的部署策略,采用Neyman-Pearson值融合感知模型,通过理论推导确定等边三角形部署和正方形部署网格的最小检测概率点位置,进而得出不同覆盖质量要求和环境参数时两种部署模式下的最大网格边长。基于退避机制的GFA(Grid Fusion Algorithm)融合算法将数据融合的范围控制在部署网格内,减少了协作能耗。仿真结果表明,新策略下等边三角形部署的覆盖效率略优于正方形部署,协作能耗对整网能耗的影响很小。Aiming at deterministic deployment problem of wireless sensor networks,this paper presents a deployment strategy based on data fusion.Adopting Neyman-Pearson value fusion sensing model,this paper determines the location of least-covered point of grid in equilateral triangular and square deployment pattern by theoretical analysis.Then the maximum grid edge length of respective deployment pattern is obtained according to different requirement of coverage quality and environmental parameters.A Grid Fusion Algorithm based on back-off principle is presented to implement fusion and restrict the fusion in grid range,which reduces cooperative energy consumption.Simulation results show that the coverage efficiency of equilateral triangular deployment is better than square deployment and cooperative energy consumption of both deployment patterns has little effect on energy consumption of the entire network.

关 键 词：传感器网络 部署 数据融合 网格 

分 类 号：TN915.04[电子电信—通信与信息系统]