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Enhancing Security in Visible Light Communication: A Tabu-Search-Based Method for Transmitter Selection.
Shi, Ge; Cheng, Wei; Gao, Xiang; Wei, Fupeng; Zhang, Heng; Wang, Qingzheng.
Affiliation
  • Shi G; The School of Information Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450046, China.
  • Cheng W; The School of Electronics and Information, Northwestern Polytechnical University, Xi'an 710129, China.
  • Gao X; The School of Electronics and Information, Northwestern Polytechnical University, Xi'an 710129, China.
  • Wei F; The School of Information Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450046, China.
  • Zhang H; The School of Electronics and Information, Northwestern Polytechnical University, Xi'an 710129, China.
  • Wang Q; The School of Information Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450046, China.
Sensors (Basel) ; 24(6)2024 Mar 16.
Article in En | MEDLINE | ID: mdl-38544169
ABSTRACT
In this paper, we explore the secrecy performance of a visible light communication (VLC) system consisting of distributed light-emitting diodes (LEDs) and multiple users (UEs) randomly positioned within an indoor environment while considering the presence of an eavesdropper. To enhance the confidentiality of the system, we formulate a problem of maximizing the sum secrecy rate for UEs by searching for an optimal LED for each UE. Due to the non-convex and non-continuous nature of this security maximization problem, we propose an LED selection algorithm based on tabu search to avoid getting trapped in local optima and expedite the search process by managing trial vectors from previous iterations. Moreover, we introduce three LED selection strategies with a low computational complexity. The simulation results demonstrate that the proposed algorithm achieves a secrecy performance very close to the global optimal value, with a gap of less than 1%. Additionally, the proposed strategies exhibit a performance gap of 28% compared to the global optimal.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sensors (Basel) Year: 2024 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sensors (Basel) Year: 2024 Document type: Article Affiliation country: China