Residential College | false |
Status | 已發表Published |
RACLN: Reconfigurable Intelligent Surface as Anchors for Cooperative Localization of Wireless Sensor Network | |
Lu, Ziyang1; Zhao, Yubin1; Ge, Yuming2; Xu, Cheng Zhong3 | |
2024-09-01 | |
Source Publication | IEEE Internet of Things Journal |
ISSN | 2327-4662 |
Volume | 11Issue:17Pages:28824-28837 |
Abstract | For future 6G systems, reconfigurable intelligent surface (RIS) controls phase shift of the reflective unit to improve the channel, which affects the received signal strength (RSS) of the microwave. In this paper, we introduce the RIS as anchors into the cooperative localization wireless sensor network (RACLN) to locate the sensor nodes. The RIS in RACLN can be a base station that provides multiple passive antennas for highly accurate localization. We derive the Cramér-Rao lower bound (CRLB) and the related squared position error bound (SPEB) for RACLN. The formulations indicate that the phase shift control of the RIS can improve the localization accuracy effectively. However, determining the appropriate phase shifts poses a nonlinear, non-convex integer programming problem. Thus, we propose a semi-definite programming (SDP) based phase optimization algorithm (SDP-PO) by relaxing the objective and achieving the minimum SPEB. Further, we also develop a low-complexity phase optimization (LC-PO) algorithm to reduce the dimension of the phase shift vector of SDP-PO. The simulation results demonstrate that the SPEB of RACLN is 94:68% smaller than the WSN using sensor nodes as anchors. In addition, The proposed SDP-PO algorithms outperform the genetic algorithm (GA) and the alternate optimization (AO) with 17.12% and 37.49%. |
Keyword | Cooperative Localization Cramér-rao Lower Bound (Crlb) Received Signal Strength (Rss) Reconfigurable Intelligent Surface (Ris) Semi-definite Programming (Sdp) |
DOI | 10.1109/JIOT.2024.3403972 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | Computer Science ; Engineering ; Telecommunications |
WOS Subject | Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications |
Publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 |
Scopus ID | 2-s2.0-85194090409 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | Faculty of Science and Technology THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU) DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE |
Corresponding Author | Zhao, Yubin |
Affiliation | 1.School of Microelectronics Science and Technology, Sun Yat-Sen University, Zhuhai, China 2.China Academy of Information and Communications Technology, Beijing, China 3.State Key Lab of IoTSC and Dept. of Computer and Information Science, University of Macau, Macau, China |
Recommended Citation GB/T 7714 | Lu, Ziyang,Zhao, Yubin,Ge, Yuming,et al. RACLN: Reconfigurable Intelligent Surface as Anchors for Cooperative Localization of Wireless Sensor Network[J]. IEEE Internet of Things Journal, 2024, 11(17), 28824-28837. |
APA | Lu, Ziyang., Zhao, Yubin., Ge, Yuming., & Xu, Cheng Zhong (2024). RACLN: Reconfigurable Intelligent Surface as Anchors for Cooperative Localization of Wireless Sensor Network. IEEE Internet of Things Journal, 11(17), 28824-28837. |
MLA | Lu, Ziyang,et al."RACLN: Reconfigurable Intelligent Surface as Anchors for Cooperative Localization of Wireless Sensor Network".IEEE Internet of Things Journal 11.17(2024):28824-28837. |
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