Improving the QoS for ad hoc Networks Using and Comparing Genetic and Dynamic Programming

Background and Objective: This research studies the problem of searching the shortest path with a multi-objective (energy, bandwidth, queue, delay) routing protocol. Most of the routing protocols in MANETs which developed to solve this problem are implementing the single-interface and single-channel environment this leads the QoS degradation issues. These issues can be solved by using multi-channel multi-interface (MCMI). Materials and Methods: This new finding considers a wireless ad hoc network composed of nodes equipped with multiple network interfaces to each of which a different wireless channel can be assigned. By embedding information about channel usage in control messages of AODV, each node obtains a view of topology information of the whole network. Based on the obtained information, a source node uses mathematical models (genetic algorithm or dynamic algorithm) to determine a logical path with the maximum available energy and minimum queue to satisfy QoS requirements. Results: Simulation results conducted in network simulator (NS-2) show that our approaches give a good performance than the others. Conclusion: The results indicate that these algorithms improve significantly the Quality of Services and can be used in different environments.