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Opportunistic Routing is emerging as a promising paradigm to mitigate performance degradation in wireless multi-hop networks due to lossy links and varying channel conditions. Opportunistic routing protocols exploit the broadcast nature of the wireless medium to perform hop-by-hop route construction, and to take advantage of path diversity. However, most of the existing solutions impose a-priori constraints on the set of candidate forwarders that can be used when routing a packet. In this paper, the authors describe MaxOPP, a flexible and adaptive opportunistic routing algorithm able to select at each hop, and at run-time, the candidate forwarders that can maximize the opportunistic throughput gain.
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