An Intelligent Hybrid Protocol for Effective Load Balancing and Energy Efficient Routing for MANETs

Abstract

MANET (Mobile ad hoc network) is an autonomous decentralised network. And it is a collection of wireless mobile nodes that dynamically form a temporary network without the reliance of any infrastructure or central administration. Routing is a challenging task in manet. When the size and complexity increases the important challenge in manet is to avoid congestion with effective load balancing and improve energy, QoS parameters inside the network. In this work we propose a new hybrid protocol by combining ACO and Predator prey (LV) model which known as ACRRCC (Ant colony based rate regulating congestion control) method, which works efficiently in two phases. The efficient and optimal routing strategy is done by phase I using ant colony optimization. In phase II the congestion is majorly controlled by employing a mathematical model named predator-prey model which regulates the rate of the traffic flow in the network path. Performance of our proposed hybrid model ACRRCC yields good results under simulation study when compared with simple ACO.