Abstract
In this chapter, a model for using Multi Intelligent Agents and Swarm Intelligence for trusted routing in mobile ad-hoc networks (MANETs) is presented. The new algorithm called TARA is proved more efficient in different ways than the existing protocols. TARA uses a local trust evaluation method to indicate an objective trust value for each node within the network depending on its forwarding behavior; therefore, a multi agent system is hosted on each node and monitors its forwarding behavior. Both the number and total size of packets being forwarded are considered. The trust value of each node is directly applied to the route as it is being built, so there is no need to propagate the trust values like other trusted protocols. Ant Colony Optimization (ACO) is used to find the best route for delivery and the processes of strengthening and evaporation of the route pheromone value are applied. Simulation using a random-way-point mobility model with different parameters had been carried out and comparison with other protocols complexity and performance was presented.