Backbone formation in Wireless Ad-hoc Networks using Distributed Q-learning

Unlike a wired network, there is no base station or network infrastructure in a wireless ad-hoc network. In order to makerouting and flooding efficient in such networks, Connected Dominating Set (CDS) as a virtual backbone has been extensively studied.Clustering the Ad-hoc networks by finding the Minimum Connected Dominating Set (MCDS) is a promising approach to construct anefficient virtual backbone in wireless Ad-hoc Networks. Since in such networks, there is neither a fixed infrastructure nor a centraladministration, the centralized algorithms are not feasible in such environments. Therefore, in this paper, a distributed algorithmbased on distributed Q-learning, called DQ-CDC, is proposed for finding the MCDS in Wireless Ad-hoc networks. The simulationresults show the superiority of the proposed algorithms over the existing CDS-based backbone formation algorithms.

Backbone formation in Wireless Ad-hoc Networks using Distributed Q-learning Keywords:

About , Wireless Ad-hoc networks , Minimum Connected Dominating Set , Distributed Q-learning