An Experimental Joint Modelling of RSSI and LQI to Reduce Energy Consumption in MANETs

The biggest challenge in MANETs is to find most efficient routing due to the changing topology and to reduce the energy consumption. Existing routing protocols may not perform well during difficult conditions like poor link quality and high mobility. In this paper, a new routing method based on link quality and Ant Colony Optimization (ACO) is proposed for MANETs. It has been found that Ant Colony Optimization (ACO) is a special kind of optimization technique which is highly suitable for finding the adaptive routing for such type of volatile network. To enhance the routing algorithm a new link quality metric is defined to handle the link quality between nodes to evaluate routes. The residual energy of the node is a key factor, which plays an important role in determining the lifetime of the network and hence it is taken as one of the metric in the route selection. Availability of a good estimation of link longevity between neighboring nodes could permit the selection of a more stable route, thus enabling a better implementation of quality of service (QoS).