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基于改进粒子群优化的无线传感器网络定位算法
Alternative TitleLocalization method based on modified particle swarm optimization for wireless sensor networks
黄艳; 臧传治; 于海斌
Department工业控制网络与系统研究室
Source Publication控制与决策
ISSN1001-0920
2012
Volume27Issue:1Pages:156-160
Indexed ByEI ; CSCD
EI Accession number20120714774084
CSCD IDCSCD:4421215
Contribution Rank2
Funding Organization国家自然科学基金项目(60725312); 江苏省自然科学基金面上项目(BK2011318); 苏州市职业大学创新团队基金项目(3100125); 苏州市职业大学校青年基金项目(2010SZDQ01)
Keyword无线传感器网络 干涉定位 粒子群优化 遗传算法
Abstract无线电干涉定位系统获取的干涉距离是4个传感器节点间距离的线性组合值.针对以两个节点间距离作为输入的传统定位算法无法直接利用上述干涉距离进行定位的问题,提出一种基于改进粒子群优化的定位方法.利用干涉距离的实验数据,分析比较了遗传算法和改进粒子群优化在无线传感器网络节点定位问题中的性能.结果表明,基于改进粒子群优化的定位方法的平均耗费时间远远小于基于遗传算法的定位方法,具有更高的优化效率.
Other AbstractThe interferometric range which the radio interferometric positioning system obtains is a linear combination of distances among four sensor nodes.For the problem that the traditional localization methods using range estimstes between a pair of nodes as input can not be applied directly in localization,a localization method based on modified particle swarm optimization(PSO) is proposed.Experimental data of the interferometric range are used to compare the performance of two localization methods based on genetic algorithm(GA) and modified PSO for wireless sensor networks.The results show that the localization method based on modified PSO takes less time and achieves higher optimizing efficiency. 更多
Language中文
Citation statistics
Cited Times:9[CSCD]   [CSCD Record]
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/10071
Collection工业控制网络与系统研究室
Corresponding Author黄艳
Affiliation1.苏州市职业大学电子信息工程系
2.中国科学院沈阳自动化研究所
Recommended Citation
GB/T 7714
黄艳,臧传治,于海斌. 基于改进粒子群优化的无线传感器网络定位算法[J]. 控制与决策,2012,27(1):156-160.
APA 黄艳,臧传治,&于海斌.(2012).基于改进粒子群优化的无线传感器网络定位算法.控制与决策,27(1),156-160.
MLA 黄艳,et al."基于改进粒子群优化的无线传感器网络定位算法".控制与决策 27.1(2012):156-160.
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