Efficient Pheromone Adjustment Techniques in ACO for Ad Hoc Wireless Network
Ant Colonies have emergent problem solving nature like food foraging of Ants etc.,. Such problem solving nature of Ant Colonies have inspired emergence of efficient routing algorithms, especially in Ad Hoc Wireless Networks (AWN). They get inspiration from Ants which use simple rules with no direct communication and finds the shortest path by sensing the chemical called Pheromone'. Ant Colony Optimization (ACO) is one such routing algorithm. ACO is Agent based routing algorithm and such agent based routing algorithms provide adaptive and efficient utilization of resources in a dynamic environment and also cater for load balancing and fault management.