Weight convergence analysis of DV-hop localization algorithm with GA

doi:10.1007/s00500-020-05088-z

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 人工智能与机器学习（杨雪冰）-技术团队

	Weight convergence analysis of DV-hop localization algorithm with GA
	Cai, Xingjuan 1; Wang, Penghong 1; Cui, Zhihua 1; Zhang, Wensheng2 ; Chen, Jinjun 1,3
发表期刊	SOFT COMPUTING
ISSN	1432-7643
	2020-06-18
页码	10
通讯作者	Wang, Penghong(penghongwang@sina.cn) ; Cui, Zhihua(zhihua.cui@hotmail.com)
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.
关键词	DV-hop Convergence analyses Genetic algorithm (GA) Positional precision Mathematical weight model
DOI	10.1007/s00500-020-05088-z
关键词[WOS]	WIRELESS SENSOR NETWORKS ; RANGE-FREE LOCALIZATION ; TECHNOLOGY
收录类别	SCI
语种	英语
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]
项目资助者	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
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Interdisciplinary Applications
WOS记录号	WOS:000541216600001
出版者	SPRINGER
引用统计	被引频次：26[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/39833
专题	多模态人工智能系统全国重点实验室_人工智能与机器学习（杨雪冰）-技术团队
通讯作者	Wang, Penghong; Cui, Zhihua
作者单位	1.Taiyuan Univ Sci & Technol, Sch Comp Sci & Technol, Taiyuan 030024, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Intelligent Control & Management Co, Beijing, Peoples R China 3.Swinburne Univ Technol, Dept Comp Sci & Software Engn, Melbourne, Vic 3000, Australia
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.