无线传感器网络迭代平均定位算法的研究  

Research on distributed iterative average localization in wireless sensor network

作　　者：崔颖[1] 刘会芹[1] 王桐[1] 汤春明[2] 

机构地区：[1]哈尔滨工程大学信息与通信工程学院,哈尔滨150001 [2]天津工业大学电子与信息工程学院,天津300387

出　　处：《计算机应用研究》2014年第8期2423-2425,共3页Application Research of Computers

基　　金：国家自然科学基金资助项目(61102105);中国博士后科学基金资助项目(20080440840);国家教育部博士点基金资助项目(20102304120014);黑龙江省自然科学基金资助项目(F201029)

摘　　要：目前分布式迭代定位算法中并没有将误差传播考虑在内,为了减少传播误差,提出分布式迭代平均定位算法。该算法遵循信标节点必选准则,将定位的节点位置和上代同一节点位置求平均作为当代节点位置,采用种群分类和动态学习因子的粒子群(CDLPSO)算法来加快定位速度。仿真结果表明,提出的算法与经典PSO算法相比,不仅减少了定位时间,而且有效地减少了传播误差对定位精度的影响。因此,该算法具有更好的实时性,有效地提高了定位精度。The present distributed iterative localization algorithm did not take into consideration of the error propagation. In order to reduce the error propagation,this paper proposed a distributed iterative average localization algorithm. The algorithm followed with the criteria of choosing beacon nodes,in which the average of the location of the node in the last generation and the location of the same node in the current generation was regarded as the current generation node location,it used particle swarm optimization of the population classification and dynamic learning factor（ CDLPSO） to accelerate the rate of positioning.It compared with the classical PSO algorithm,simulation results show that the proposed algorithm not only reduces the positioning time,but effectively reduces the influence of the error propagation. Therefore,the proposed algorithm is with real-time better and improves the positioning accuracy effectively.

关 键 词：无线传感器网络 CDLPSO算法 分布式迭代平均定位 定位误差 

分 类 号：TP393[自动化与计算机技术—计算机应用技术] TP301.6[自动化与计算机技术—计算机科学与技术]