Multi-Objective Three-Dimensional DV-Hop Localization Algorithm With NSGA-II

doi:10.1109/JSEN.2019.2927733

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

	Multi-Objective Three-Dimensional DV-Hop Localization Algorithm With NSGA-II
	Cai, Xingjuan 3; Wang, Penghong 3; Du, Lei 3; Cui, Zhihua 3; Zhang, Wensheng 1; Chen, Jinjun 2,3
刊名	IEEE SENSORS JOURNAL
	2019-11-01
卷号	19 期号:21 页码:10003-10015
关键词	Wireless sensor networks (WSNs) 3DDV-Hop algorithm multi-objective positioning model N2-3DDV-Hop
ISSN号	1530-437X
DOI	10.1109/JSEN.2019.2927733
通讯作者	Cui, Zhihua(zhihua.cui@hotmail.com)
英文摘要	Location information is generally considered to be indispensable information in wireless sensor networks, but existing algorithms have notable limitations in their positioning accuracy in 3-dimensional (3D) spaces. To improve the positioning accuracy of nodes in a 3D scenario, this paper proposes a new method called N2-3DDV-Hop (non-dominated sorting genetic algorithm II with 3D distance-vector hop) that builds on the 3D-DV-Hop algorithm by adding multi-objective model and NSGA-II. In this paper, it is analyzed that the limitations of the traditional single-objective positioning model and showed the relationship among the average hop distance, the number of sensor nodes, and the theoretical average distance. In addition then, the multi-objective positioning model incorporating the NSGA-II algorithm is presented. To evaluate its performance relative to other current methods, we compared our method by testing all of the methods with three different complex network topologies. Simulation results demonstrate that the N2-3DDV-Hop offered the best overall positioning performance compared with other algorithms and better robustness than the 3DDV-Hop algorithm.
资助项目	National Natural Science Foundation of China[61806138] ; Natural Science Foundation of Shanxi Province[201801D121127] ; Taiyuan University of Science and Technology Scientific Research Initial Funding[20182002]
WOS关键词	WIRELESS SENSOR NETWORKS ; CHALLENGES
WOS研究方向	Engineering ; Instruments & Instrumentation ; Physics
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000492361300047
资助机构	National Natural Science Foundation of China ; Natural Science Foundation of Shanxi Province ; Taiyuan University of Science and Technology Scientific Research Initial Funding
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/28890]
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	Cui, Zhihua
作者单位	1.Chinese Acad Sci, Inst Automat, State Key Lab Intelligent Control & Management Co, Beijing 100190, Peoples R China 2.Swinburne Univ Technol, Dept Comp Sci & Software Engn, Melbourne, Vic 3000, Australia 3.Taiyuan Univ Sci & Technol, Complex Syst & Computat Intelligence Lab, Taiyuan 030024, Shanxi, Peoples R China
推荐引用方式 GB/T 7714	Cai, Xingjuan,Wang, Penghong,Du, Lei,et al. Multi-Objective Three-Dimensional DV-Hop Localization Algorithm With NSGA-II[J]. IEEE SENSORS JOURNAL,2019,19(21):10003-10015.
APA	Cai, Xingjuan,Wang, Penghong,Du, Lei,Cui, Zhihua,Zhang, Wensheng,&Chen, Jinjun.(2019).Multi-Objective Three-Dimensional DV-Hop Localization Algorithm With NSGA-II.IEEE SENSORS JOURNAL,19(21),10003-10015.
MLA	Cai, Xingjuan,et al."Multi-Objective Three-Dimensional DV-Hop Localization Algorithm With NSGA-II".IEEE SENSORS JOURNAL 19.21(2019):10003-10015.