Title: Reliable multicast as a Bayesian coalition game for a non-stationary environment in vehicular ad hoc networks: a learning automata-based approach

Authors: Neeraj Kumar; Chun-Cheng Lin

Addresses: Department of Computer Science and Engineering, Thapar University, Patiala, Punjab 147004, India ' Department of Industrial Engineering and Management, National Chiao Tung University, Hsinchu 300, Taiwan

Abstract: Vehicular ad hoc networks (VANETs) are offering lot of services for the benefits of community of users. But, due to the dynamic nature of VANETs, it is a challenging task to perform reliable multicast. To address this issue, this paper proposes a new approach called reliable multicasting in non-stationary environment as a Bayesian coalition game using learning automata (RMBCG-LA) for VANETs. A new metric, probabilistic reliability index (PRI) is computed by each player. A coalition among the players of the game is formed using Bayesian network with a threshold in each coalition is based upon the conditional probability. For each action performed by the automaton, its action is rewarded or penalised by the non-stationary environment in which it is operates. The performance of the proposed scheme is evaluated in comparison with the well-known existing schemes. The results obtained show that our proposed scheme is better than the other schemes of its category.

Keywords: vehicular ad hoc networks; VANETs; learning automata; coalition game; Bayesian networks; reliable multicasting; multicast reliability; conditional probability.

DOI: 10.1504/IJAHUC.2015.070594

International Journal of Ad Hoc and Ubiquitous Computing, 2015 Vol.19 No.3/4, pp.168 - 182

Received: 09 Nov 2013
Accepted: 11 Apr 2014
Published online: 13 Jul 2015 *

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