Weight convergence analysis of DV-hop localization algorithm with GA

doi:10.1007/s00500-020-05088-z

CORC > 自动化研究所 > 中国科学院自动化研究所 > 精密感知与控制研究中心 > 人工智能与机器学习

	Weight convergence analysis of DV-hop localization algorithm with GA
	Cai, Xingjuan 2; Wang, Penghong 2; Cui, Zhihua 2; Zhang, Wensheng 3; Chen, Jinjun 1,2
刊名	SOFT COMPUTING
	2020-06-18
页码	10
关键词	DV-hop Convergence analyses Genetic algorithm (GA) Positional precision Mathematical weight model
ISSN号	1432-7643
DOI	10.1007/s00500-020-05088-z
通讯作者	Wang, Penghong(penghongwang@sina.cn) ; Cui, Zhihua(zhihua.cui@hotmail.com)
英文摘要	The distance vector-hop (DV-hop) is a typical localization algorithm. It estimates sensor nodes location through detecting the hop count between nodes. To enhance the positional precision, the weight is used to estimate position, and the conventional wisdom is that the more hop counts are, the smaller value of weight will be. However, there has been no clear mathematical model among positioning error, hop count, and weight. This paper constructs a mathematical model between the weights and hops and analyzes the convergence of this model. Finally, the genetic algorithm is used to solve this mathematical weighted DV-hop (MW-GADV-hop) positioning model, the simulation results illustrate that the model construction is logical, and the positioning error of the model converges to 1/4R.
资助项目	National Natural Science Foundation of China[61806138] ; National Natural Science Foundation of China[61772478] ; National Natural Science Foundation of China[U1636220] ; National Natural Science Foundation of China[61961160707] ; National Natural Science Foundation of China[61976212] ; National Key Research and Development Program of China[2018YFC1604000] ; Key R&D program of Shanxi Province (High Technology)[201903D121119] ; Key R&D program of Shanxi Province (International Cooperation)[201903D421048] ; Natural Science Foundation of Shanxi Province[201801D121127] ; Postgraduate education innovation project of Shanxi Province[2019SY493]
WOS关键词	WIRELESS SENSOR NETWORKS ; RANGE-FREE LOCALIZATION ; TECHNOLOGY
WOS研究方向	Computer Science
语种	英语
出版者	SPRINGER
WOS记录号	WOS:000541216600001
资助机构	National Natural Science Foundation of China ; National Key Research and Development Program of China ; Key R&D program of Shanxi Province (High Technology) ; Key R&D program of Shanxi Province (International Cooperation) ; Natural Science Foundation of Shanxi Province ; Postgraduate education innovation project of Shanxi Province
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/39790]
专题	精密感知与控制研究中心_人工智能与机器学习
通讯作者	Wang, Penghong; Cui, Zhihua
作者单位	1.Swinburne Univ Technol, Dept Comp Sci & Software Engn, Melbourne, Vic 3000, Australia 2.Taiyuan Univ Sci & Technol, Sch Comp Sci & Technol, Taiyuan 030024, Peoples R China 3.Chinese Acad Sci, Inst Automat, State Key Lab Intelligent Control & Management Co, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Cai, Xingjuan,Wang, Penghong,Cui, Zhihua,et al. Weight convergence analysis of DV-hop localization algorithm with GA[J]. SOFT COMPUTING,2020:10.
APA	Cai, Xingjuan,Wang, Penghong,Cui, Zhihua,Zhang, Wensheng,&Chen, Jinjun.(2020).Weight convergence analysis of DV-hop localization algorithm with GA.SOFT COMPUTING,10.
MLA	Cai, Xingjuan,et al."Weight convergence analysis of DV-hop localization algorithm with GA".SOFT COMPUTING (2020):10.