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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 PublicationIEEE Internet of Things Journal
ISSN2327-4662
Volume11Issue: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%.

KeywordCooperative Localization Cramér-rao Lower Bound (Crlb) Received Signal Strength (Rss) Reconfigurable Intelligent Surface (Ris) Semi-definite Programming (Sdp)
DOI10.1109/JIOT.2024.3403972
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaComputer Science ; Engineering ; Telecommunications
WOS SubjectComputer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141
Scopus ID2-s2.0-85194090409
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Citation statistics
Document TypeJournal article
CollectionFaculty 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 AuthorZhao, Yubin
Affiliation1.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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