Ants for Routing in MANET using Hybrid ACO-OLSR Algorithm
M. V. H. Bhaskara Murthy; B. Prabhakara Rao
A group of wireless mobile nodes dynamically forming a network are termed as Mobile ad hoc network (MANET). Such a network has no pre-defined structure or a significant administration system. Finding a path between the communicating nodes is considered as a biggest challenge in MANET. Optimized Link State Routing (OLSR) is a popular proactive routing protocol developed for MANET. The OLSR works on the idea of Multi Point Relay (MPR) mechanism. In this, the mobile nodes selected as MPR nodes can only retransmit broadcast packets received from other mobile nodes. To optimize the routing in the MANET, heuristic methods are used. In this work, a hybrid algorithm using Ant Colony Optimization (ACO) algorithms, which draws its inspiration from the group of ants foraging behaviour, for finding an optimal route between source and destination. In ACO routing algorithms there are simple agents called artificial ants to establish an optimal connection between source and destination to communicate indirectly with each other by means of stigmetry