1st International ICST Workshop on Secure Wireless Networks

Research Article

Relay and Jammer Cooperation as a Coalitional Game in Secure Cooperative Wireless Networks

  • @INPROCEEDINGS{10.4108/icst.valuetools.2011.246019,
        author={Rongqing Zhang and Lingyang Song and Zhu Han and Bingli Jiao},
        title={Relay and Jammer Cooperation as a Coalitional Game in Secure Cooperative Wireless Networks},
        proceedings={1st International ICST Workshop on Secure Wireless Networks},
        publisher={ACM},
        proceedings_a={SECURENETS},
        year={2012},
        month={6},
        keywords={Relay and Jammer Cooperation Coalitional Game Merge-and-Split Algorithm},
        doi={10.4108/icst.valuetools.2011.246019}
    }
    
  • Rongqing Zhang
    Lingyang Song
    Zhu Han
    Bingli Jiao
    Year: 2012
    Relay and Jammer Cooperation as a Coalitional Game in Secure Cooperative Wireless Networks
    SECURENETS
    ICST
    DOI: 10.4108/icst.valuetools.2011.246019
Rongqing Zhang1, Lingyang Song1, Zhu Han2,*, Bingli Jiao1
  • 1: School of Electronics Engineering and Computer Science, Peking University, Beijing, China
  • 2: Electrical and Computer Engineering Department, University of Houston, Houston, TX, USA
*Contact email: hanzhu22@gmail.com

Abstract

In this paper, we investigate cooperation of conventional relays and friendly jammers subject to secrecy constraints for cooperative networks. In order to obtain an optimized secrecy rate, the source selects several conventional relays and friendly jammers from the intermediate nodes to assist data transmission, and in return, it needs to make a payment. Each intermediate node here has two possible identities to choose, i.e., to be a conventional relay or a friendly jammer, which results in a different impact on the final utility of the intermediate node. After the intermediate nodes determine their identities, they seek to find optimal partners forming coalitions, which improves their chances to be selected by the source and thus to obtain the payoffs in the end. We formulate this cooperation as a coalitional game with transferable utility and study its properties. Furthermore, we define a Max-Pareto order for comparison of the coalition value, based on which we employ the merge-and-split rules. We also construct a distributed merge-and-split coalition formation algorithm for the defined coalition formation game. The simulation results verify the efficiency of the proposed coalition formation algorithm.