Location-aware opportunistic forwarding in mobile opportunistic networks

In mobile opportunistic networks, the ad hoc nodes with high mobility are expected to have many opportunities of node contacts and serving message forwarding. Here we considering two typical mobility models, e.g., the RWP(Random WayPoint) model and Manhattan model, where the probabilistic characteristics of the node contact provided by the mobile nodes are explored. Furthermore we propose a Location-Aware Opportunistic Forwarding scheme, which exploits the location information of the messages and the node mobility for message forwarding. The message is forwarded to its destination regions or neighbor regions to improve the delivery ratio and reduce the network overhead. We construct a simulation environment, integrated with the RWP mobility trace and the city taxis' traces. Through extensive simulations, our scheme is demonstrated to outperform the best known opportunistic forwarding algorithms in terms of both delivery ratio/latency and transmission overhead.