ACDTN: A new routing protocol for delay tolerant networks based on ant colony

Abstract

In this paper, we propose a new routing protocol named ACDTN, inspired from the collective behavior in ants colonies, to find the hops that are more likely to approach the message to it final destination, by combining the information on the time and the geographical coordinates of appointment places (visibility) and the encounters frequency between nodes (pheromone) to compute the transition probability. In addition, we used THE ONE simulator to verify the performance of ACDTN compared to those of the routing techniques; Epidemic, Spray and Wait and ProPHET, simulation results show that the proposed approach (ACDTN ) improves the rate of message delivery and generates a very low overhead compared to other routes, Making it a good candidate for DTN network.

FIRST: Fuzzy based intelligent relay selection and transition technique for delay tolerant networks

“…So that, it can achieve the message transmission using store carry and forward mechanism. Computational intelligent mechanisms like particle swarm optimization, 11 fuzzy logic, 12 ant colony optimization, 13 and genetic algorithm 14 have been applied in DTN for solving various problems. Fuzzy logic gives better results among all when many uncertainties arise, therefore in this paper we have used fuzzy logic to propose a relay node selection scheme by considering all the parameters that may lead to undesirable results.…”