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无线传感器网络节点自身定位算法研究
引用本文:陈常山,张申.无线传感器网络节点自身定位算法研究[J].传感器与微系统,2011,30(8):43-45,49.
作者姓名:陈常山  张申
作者单位:中国矿业大学物联网研究中心信息与电气工程学院,江苏徐州,221000
摘    要:无线传感器网络中节点自身位置信息是实现其应用的最重要因素之一.针对节点自身定位的研究很多,但很大一部分都集中在算法的改进和新算法的开发上,很少给出纵向直观的仿真效果比较.研究选取无需测距算法中4种典型的算法,给出它们在不同参数下的仿真定位效果图,对于工程人员根据实际选取最优算法有很好的借鉴作用.在此基础上,利用曲线拟合...

关 键 词:自身定位  仿真定位效果  曲线拟合  最优算法

Research on node self-localization algorithm for wireless sensor networks
CHEN Chang-shan,ZHANG Shen.Research on node self-localization algorithm for wireless sensor networks[J].Transducer and Microsystem Technology,2011,30(8):43-45,49.
Authors:CHEN Chang-shan  ZHANG Shen
Affiliation:(Research Centre of the Internet of Things,School of Information & Electrical Engineering,China University of Mining and Technology,Xuzhou 221000,China)
Abstract:The node self-localization information of wireless sensor networks(WSNs)is one of the most important factor for its applications.There are numerous researches on self-localization algorithms,but most of them focus on improvement of the algorithms or the development of new algorithms,only a few longitudinal comparisons of simulations for these algorithms have been proposed.Four typical range-free algorithms is chosen and their simulated localization drawings are presented,which would be a big help for engineers to select the optimum algorithm.The approximating functions is given out,for the localization results based on the theory of curve-fitting,the four algorithms with different parameters.The localization performance function is elicited using these approximating functions.Numerical values is given out and put into the function according to practical situations.The optimum algorithm is determined.
Keywords:self-localization  simulated localization effect  curve-fitting  optimum algorithm
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