Optimal Opportunistic Forwarding with Energy Constraint for DTN

In Delay Tolerant Networks, energy efficient forwarding algorithms are significant to enhance the performance of messages´ transmission probability. In this paper, we focus on the problem of optimal opportunistic epidemic forwarding with energy constraint. By introducing a continuous time model, we obtain the optimal static and dynamic policies for multi-messages forwarding. Extensive simulations show that the optimal dynamic policy achieves about 26% higher transmission probability than the static policy while the number of messages decreases the average transmission probability.