Multi-Objective Three-Dimensional DV-Hop Localization Algorithm With NSGA-II
文献类型：期刊论文
| 作者 | Cai, Xingjuan2; Wang, Penghong2; Du, Lei2; Cui, Zhihua2; Zhang, Wensheng3 ; Chen, Jinjun1,2
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| 刊名 | IEEE SENSORS JOURNAL
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| 出版日期 | 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. |
| WOS关键词 | WIRELESS SENSOR NETWORKS ; CHALLENGES |
| 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研究方向 | Engineering ; Instruments & Instrumentation ; Physics |
| 语种 | 英语 |
| WOS记录号 | WOS:000492361300047 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 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 |
| 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.Swinburne Univ Technol, Dept Comp Sci & Software Engn, Melbourne, Vic 3000, Australia 2.Taiyuan Univ Sci & Technol, Complex Syst & Computat Intelligence Lab, Taiyuan 030024, Shanxi, Peoples R China 3.Chinese Acad Sci, Inst Automat, State Key Lab Intelligent Control & Management Co, Beijing 100190, 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. |
入库方式： OAI收割
来源：自动化研究所
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