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

doi:10.1109/JSEN.2019.2927733

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

	Multi-Objective Three-Dimensional DV-Hop Localization Algorithm With NSGA-II
	Cai, Xingjuan 1; Wang, Penghong 1; Du, Lei 1; Cui, Zhihua 1; Zhang, Wensheng2 ; Chen, Jinjun 1,3
发表期刊	IEEE SENSORS JOURNAL
ISSN	1530-437X
	2019-11-01
卷号	19 期号:21 页码:10003-10015
通讯作者	Cui, Zhihua(zhihua.cui@hotmail.com)
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.
关键词	Wireless sensor networks (WSNs) 3DDV-Hop algorithm multi-objective positioning model N2-3DDV-Hop
DOI	10.1109/JSEN.2019.2927733
关键词[WOS]	WIRELESS SENSOR NETWORKS ; CHALLENGES
收录类别	SCI
语种	英语
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] ; 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]
项目资助者	National Natural Science Foundation of China ; Natural Science Foundation of Shanxi Province ; Taiyuan University of Science and Technology Scientific Research Initial Funding
WOS研究方向	Engineering ; Instruments & Instrumentation ; Physics
WOS类目	Engineering, Electrical & Electronic ; Instruments & Instrumentation ; Physics, Applied
WOS记录号	WOS:000492361300047
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：145[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/173211/28891
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	Cui, Zhihua
作者单位	1.Taiyuan Univ Sci & Technol, Complex Syst & Computat Intelligence Lab, Taiyuan 030024, Shanxi, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Intelligent Control & Management Co, Beijing 100190, 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,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.