Framework for QOS Optimization in MANET using GA-ACO Techniques

MANET(Mobile Adhoc Network) is dynamically configured network that consist of collection of wireless mobile Since the mobile nodes are dynamically configured, frequent changes occur in its topology and they form unpredictable behavior, leading to routing overhead. In any wireless network, when node size is increased, the performance deteriorate. So as to support scalability, it is essential to optimize the QoS parameters. The proposed algorithm uses GA-ACO (Genetic Algorithm- Any Colony Optimization) which optimize the Quality of Service (QoS) parameters like node speed, link delay, power and bandwidth. In the proposed model, secure agent based multicast routing scheme is used which optimizes the parameters based on hybrid GA and ACO techniques. The Proposed algorithm outperforms the existing OLSR and AODV protocols and it yields 12.25% and 7.41% improvement in Throughput, 5.63% and 4.22% improvement in energy consumption, 45.34% and 42.01% improvement in drop packet.