Distance Based Termite Algorithm for Mobile Ad-Hoc Networks

Providing Quality of Service (QoS) in Mobile Ad-Hoc Networks (MANET's) is difficult due to dynamic nature of its topology. Today's research trends show that Swarm Intelligence (Si) can be used effectively to provide QoS in MANET and also MANET is not much explored in the area of SI. Motivated by their self organizing behavior and robustness many routing algorithms have been proposed for both wired and wireless networks. SI routing algorithms are driven by mainly two functions, Pheromone update-decay functions and Forwarding functions. In this paper, a new pheromone update and decay function for Termite algorithm is proposed for MANET which reflects the current context of the network that is the distance between the Mobile Nodes at the time of transmitting the packets. Received Signal Strength (Pr) from Physical Layer is used to find the distance and it is made visible at the Network Layer through Cross Layer Model. The proposed model is simulated and the results are compared with the existing methods and the metric used for the comparison are throughout and control packet overhead. The results show that the new distance based pheromone update and decay methods perform better than the other existing methods.