无线传感器网络节点定位技术的优化  

Location and Optimization of Wireless Network Based on Signal Path Loss

作　　者：卞国龙 黄海松[1] 葛至峥 刘培晨 

机构地区：[1]贵州大学现代制造技术教育部重点实验室,贵阳550025 [2]中国海洋大学管理学院,山东青岛266100 [3]青岛大学机电工程学院,山东青岛266071

出　　处：《激光杂志》2017年第3期69-74,共6页Laser Journal

基　　金：贵州省科技支撑计划(黔科合GZ字[2015]3034);国家自然科学基金(51475097);国家科技支撑计划(2014BAH05F01);贵州省科技基金项目(黔科合J字[2015]2043);贵州省基础研究重大专项(黔科合JZ字[2014]2001)

摘　　要：研究定位无线传输信号受干扰较大以及定位精度达不到要求等问题,应该建立起更准确的定位机制,以减少环境等因素的干扰。针对基于RSSI定位算法中的问题,提出了一种基于改进的模拟退火法的定位算法。首先利用贝叶斯算法进行滤波处理,然后应用改进的退火算法表示节点的通信范围和移动范围,根据移动点每时刻最大移动范围和移动点的通信范围形成解区域,然后随机采集样节点进行优化处理。实验结果表明,改进的模拟退火算法能获得较好的定位精度,优于传统的极大似然估计等算法,有效实现了移动点在复杂空间的定位且无须额外增加硬件,减少了成本。Research on indoor wireless transmission of signals by the interference and the positioning accuracy is mainly the larger issues,we should establish a more precise targeting mechanisms to reduce environmental reasons such interference signals. RSSI-based location algorithm for the problem,based on improved simulated annealing method of localization algorithm. First,the use of Bayesian filtering algorithm,and then apply the improved simulated annealing algorithm represents the communication range and the range of mobile nodes,mobile nodes forming solution according to each region＇s largest mobile slot range and scope of mobile communication point,and then randomly collected samples node to optimize. Experimental results show that,in the case of carrying out several tests,the improved simulated annealing algorithm can get better positioning accuracy,better than the traditional maximum likelihood estimation algorithm,the effective realization of the positioning point move in a complex space and without additional reduce hardware costs.

关 键 词：传感器网络 误差分析 极大似然法 滤波 模拟退火算法 

分 类 号：TN929.5[电子电信—通信与信息系统] TP212[电子电信—信息与通信工程]