A Coalitional Formation Game for Physical Layer Security of Cooperative Compressive Sensing Multi-Relay Networks

Area of Science:

• Information Security
• Wireless Communications
• Game Theory

Background:

• Cooperative relaying enhances physical-layer security by using relays to forward signals.
• Existing methods may not fully optimize secrecy capacity in complex networks.

Purpose of the Study:

• To propose a cooperative compressive sensing and amplify-and-forward (CCS-AF) scheme.
• To introduce a novel coalitional game theory algorithm for optimal relay selection to maximize secrecy capacity.

Main Methods:

• Developed a cooperative compressive sensing and amplify-and-forward (CCS-AF) scheme.
• Proposed a coalition formation algorithm using coalitional game theory with a new max-coalition order rule for relay selection.

Main Results:

• The proposed CCS-AF scheme increases secrecy capacity.
• The coalition formation algorithm effectively selects relays to maximize network secrecy capacity.
• Simulation results demonstrate significant improvements in secrecy capacity.

Conclusions:

• The proposed CCS-AF scheme and coalition formation algorithm are effective for enhancing physical-layer security.
• Coalitional game theory provides a robust framework for optimizing relay selection in cooperative networks.
• The max-coalition order rule offers a new approach to coalition formation for improved network performance.