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Cooperative packet-forwarding strategies in mobile ad hoc networks with unreliable channels: An evolutionary game approach

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  • Yuanjie Li
  • Xiaojun Wu

Abstract

In mobile ad hoc networks, network nodes accomplish a target task usually by cooperative packet forwarding from the source to the destination. It is a challenge to enforce their mutual cooperation for a node’s self-interest. In this article, we focus on cooperative packet forwarding in a one-hop unreliable channel, which leads to packet loss and retransmission. We model the process of packet forwarding with the nodes’ remaining energy and reputation value. We propose a packet-forwarding non-cooperative game model reflecting the utilities of different packet-forwarding strategies, in which an incentive mechanism is introduced to enforce cooperation of packet forwarding. Furthermore, we analyze the packet-forwarding game with replicator dynamics and derive and prove three theorems. If the conditions of the theorems are met, the evolutionarily stable strategies can be attained. Three inferences also reveal how convergence speed to evolutionarily stable states is affected by the cooperative incentive, the probability of successful packet transmissions, and the upper limit of the retransmission number. The simulation results support the proposed theorems and inferences. In addition, we show that our game model with a reputation value and the mechanism of incentive cooperation can improve the probability of successful packet transmissions, and reduce the network overhead.

Suggested Citation

  • Yuanjie Li & Xiaojun Wu, 2019. "Cooperative packet-forwarding strategies in mobile ad hoc networks with unreliable channels: An evolutionary game approach," International Journal of Distributed Sensor Networks, , vol. 15(9), pages 15501477198, September.
  • Handle: RePEc:sae:intdis:v:15:y:2019:i:9:p:1550147719875651
    DOI: 10.1177/1550147719875651
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    References listed on IDEAS

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    2. Drew Fudenberg & David K. Levine, 1998. "The Theory of Learning in Games," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262061945, December.
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