Design and Implementation of Resource Management Optimization Algorithm to improve QoS performance

In wireless communication, the physical layer handles radio propagation and other challenges unique to a wireless channel. Whereas, Media access control layer coordinates the access to the shared medium. This work carried out deliberates on physical as well as medium access control layers respectively. It aims to develop the algorithm to improve Quality of Service (QoS) for recommendation as well as allocation of a good channel in the presence of congestion in a dense environment. The performance of the algorithm is evaluated using network simulator NS2. The investigated algorithm focuses on improving the QoS performance of the network by throughput gain of 22.22 %, reducing packet dropping ratio by 4 %, and recommending a good channel based on the fitness function. The simulation result shows that the algorithm provides a 15% better packet delivery ratio in congestion and dense scenarios. In this paper, required QoS aimed at channel recommendation for communication using machine learning technique is achieved.