The design of routing algorithm is very important for the network performance. Collective intelligence of ants can be transformed in useful optimization techniques that can be successively implemented in computer networks especially ad-hoc mobile networks. This paper simulated on MATLAB 7.5, takes into consideration ant colony optimization approach and focuses on routing metrices like packet delivery ratio (%) measured against ? (weights the no. of recent samples) and route efficiency metric (REM). The algorithm improves rules of pheromone update. Simulation results show that the proposed algorithm improves the packet delivery ratio and increases the successful transfer rate of WMN. The technique adopted gives outstanding results where packet delivery ratio (%) has maximum value of 95.9 % and minimum value of 4.37 %. The REM for forward and backward ANTS is calculated using a particular model and its variation against different node congestion metrics has been evaluated and plotted.

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Ant Colony Optimization (aco) Aconet Ant Colony Pheromones Performance Enhancement Route Efficiency Metric (rem) Packet Delivery Ratio