13-11-2012, 02:11 PM
Abstract on Adaptive Opportunistic Routing for Wireless Ad Hoc Networks
ABSTRACT
A distributed adaptive opportunistic routing scheme for
multi-hop wireless ad hoc networks is proposed. The
proposed scheme utilizes a reinforcement learning
framework to opportunistically route the packets even in
the absence of reliable knowledge about channel statistics
and network model. This scheme is shown to be optimal
with respect to an expected average per-packet reward
criterion. The proposed routing scheme jointly addresses
the issues of learning and routing in an opportunistic
context, where the network structure is characterized by
the transmission success probabilities. In particular, this
learning framework leads to a stochastic routing scheme
that optimally “explores” and “exploits” the opportunities
in the network