Abstract

Wireless Networks includes a larger advantage in today’s communication application like environmental, traffic,\nmilitary, and health observation. To realize these applications it\'s necessary to possess a reliable routing protocol. In this\nresearch, the main focus is on the design of genetic algorithm routing protocol based on bandwidth aware Successive\nInference Cancellation (SIC) aiming at achieving high overall throughput compared to it of the hop count routing. A novel\nbandwidth routing mechanism is proposed, where all the cluster head nodes in network estimate bandwidth periodically.\nSuccessive Interference Cancellation (SIC) is an innovative physical layer technique that allows the receiver to decode\ncomposite signals from multiple transmitters consecutive. The introduction of SIC improves bandwidth of the route from\nsource to destination node. The proposed algorithm works in two stages: in first stage the whole network is divided into\nclusters and cluster head are selected on the basis of genetic algorithm. After selection of cluster head we then move towards\nthe second stage. In the second stage, the route is selected among cluster head by using the concept of bandwidth aware SIC.\nThose nodes having minimum SIC value will be selected for data forwarding from source to destination. A comparison of\nBASIC and GA-BASIC routing algorithm is analyzed in this report and it is concluded that the GA-BASIC routing algorithm\nhas improves the path bandwidth and results in high throughput.