A Novel Security-based Adaptive Reconfigurable Intelligent Surfaces
Assisted Clustering Strategy
Abstract
Reconfigurable intelligent surfaces (RISs) have attracted a great deal
of interest due to the potential contributions to the next-generation
wireless networks. This letter proposes an enhancement to the physical
layer security (PLS) of a multi-hop RIS-assisted underwater optical
wireless communication (UOWC) system. Owing to the complexity of the
underwater environment, a security-based adaptive RIS (SA-RIS)
clustering strategy, which aims to reflect optical signals among
clusters to improve the performance of the overall system, is evaluated.
By combining the underwater channel model, the closed-form expressions
of probability density function (PDF) and cumulative distribution
function (CDF) are derived. Moreover, by increasing the numbers of RIS
clusters, the performance metrics such as secrecy outage probability
(SOP) and average secrecy capacity (ASC) are evaluated under different
scenarios. The obtained results demonstrated that, in contrast to the
case without preventing the eavesdropper, the proposed strategy in
evasion scenarios could improve the SOP significantly. It can be
concluded that the system secrecy performances are further improved by
assigning different RIS clusters with proper channel quality.