摘要
针对无线传感器网络在道路监控、管道传输等一维环境中出现的因经验模型基站移动或环境发生改变时需要重新建立数据库的问题,提出了一种基于接收信号强度指示(RSSI)的一维经验模型定位算法(1-DEMRSSI).该算法基于一维线性定位的思想,利用信号强度比值来确定未知节点的位置,所以只需要建立一次信号强度比值数据库.仿真结果表明,1-DEMRSSI算法比RSSI算法的运算量小,且一次定位时间可缩短10%左右,定位精度提高14.2%~66.4%,其在一维线性应用领域表现出了良好的灵活性和实用性.
In order to overcome the problem of reestablishing the data set when the base stations move or the environments change, a novel 1-dimensional empirical model location algorithm——1-DEMRSSI is proposed for 1-dimensional wireless sensor networks applications such as road surveillance and pipeline transmission. The algorithm is based on RSSI (received signal strength indicator) and linear location, and utilizes the ratios of signal strengths, instead of signal strength, to determine the locations of the unknown nodes. The algorithm only needs to establish the data set for ratios of the signal strengths once. Simulation results and comparisons with the RSSI algorithm show that the calculation cost of the proposed algorithm is reduced, location time is shortened about 10%, and the location precision is improved by 14. 2% to 66.4%. It has been observed that the algorithm is well flexible and practical for linear applications.
出处
《西安交通大学学报》
EI
CAS
CSCD
北大核心
2008年第2期147-151,共5页
Journal of Xi'an Jiaotong University
基金
国家高技术研究发展计划资助项目(2006AA01Z210)
西安市工业攻关资助项目(GG06022)
关键词
无线传感器网络
定位算法
信号强度比
wireless sensor networks
location algorithm
signal strength ratio
作者简介
孔庆茹(1973-),男,博士生;
杨新宇(联系人),男,副教授.