G.M. Jinarajadasa , S.R. Liyanage
Abstract
Mobile Ad-hoc Networks (MANETs) are one of the most popular wireless networks which are having dynamic topologies due to their self-organizing nature. These are less-infrastructure oriented networks due to nodes being mobile and hence routing becomes more important issue in these networks. With the ubiquitous growth of mobile and the IoT (Internet of Things) technologies Mobile Ad-hoc Networks are playing a vital role in the social communication process. Although these are having plenty of problems and challenges including security, power management, location management and passing multimedia over the network due to the routing issue. MANETs consists of number of dynamic connections in between nodes hence finding a trustworthy route for the communication is a challenge. Therefore, based on swarm intelligence methodologies an Ant Colony optimization (ACO) algorithm for trust path finding is proposed in here with the help of probabilistic transition rule and pheromone trails.
Keywords: Mobile Ad-hoc Networks (MANETs), Swarm Intelligence, Ant Colony optimization (ACO), Probabilistic Transition Rule, Pheromone trails
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