Exploring and exploiting routing opportunities in wireless ad-hoc networks

Abstract--In this paper, d-AdaptOR, a distributed opportunistic routing scheme for multi-hop wireless ad-hoc networks is proposed. The proposed scheme utilizes a reinforcement learning framework to achieve the optimal performance adaptively even in the absence of reliable knowledge about channel statistics and network model. The scheme extends an earlier proposed scheme [1] which relied on centralized computation. In contrast, d-AdaptOR operates solely based on local information and coordination with other neighboring nodes via network message passing while achieving optimality with respect to an expected average per packet cost criterion.

• Type: Journal
• Year: 2009
• Where: CDC
• Authors: Abhijeet Bhorkar, Mohammad Naghshvar, Tara Javidi, Bhaskar D. Rao
• Keywords: CDC 2009, Control Systems, Earlier Proposed Scheme, Multi-hop Wireless Ad-hoc, Opportunistic Routing Scheme