Abstract
Most routing algorithms in delay tolerant networks (DTNs) have not taken adequately into account the issue of energy constraint for communication. In this paper, we propose a new optimization strategy for different DTN routing algorithms that use an utility function to select the best nodes to relay messages, but that were originally proposed without regard to the issue of energy. Our proposed optimization strategy is based on the modeling of multi-copy forwarding as a Bayesian signaling game. A system for belief update concerning the energy of the other DTN nodes based on the accumulated observations of the destination nodes is considered. Simulation results show that our proposed optimization strategy can maintain the network nodes operational for a longer period of time.
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