Regular Section
Optimal Probabilistic Epidemic Forwarding for Energy Constrained Delay Tolerant Networks
2010 Volume E93.A Issue 8 Pages 1573-1577
Details
2010 Volume E93.A Issue 8 Pages 1573-1577
In delay tolerant networks, energy efficient forwarding algorithms are significant to enhance the performance of message transmission probability. In this paper, we focus on the problem of optimal probabilistic epidemic forwarding with energy constraint. By introducing a continuous time model, we obtain the optimal static and dynamic policies for multi-messages forwarding. Extensive numerical results show that the optimal dynamic policy achieves higher transmission probability than the optimal static policy while the number of messages decreases the average transmission probability.
