An Enhanced Scheduling Algorithms Framework on Wi-Fi for Reducing Network Delay

Abstract

Wi-Fi is a modern wireless network that provides several converged integration service. Due to remarkable growth there is a need to improve quality of service. This research focus on developing framework that enhanced the scheduling in Wi-Fi and improving QoS so as to allocate resources based on aggregation of frames, separation of different access categories. The problems which the Wi-Fi user’s face is delay of packets. This research focuses on Wi-Fi IEEE 802.11n that support a high bandwidth transmission rate and aggregation of Ethernet packets. A simulation was carried out to compare network QoS performance with and without the proposed framework. Simulations Shows that there is reduction of delay, the change in packet size in this Simulation control environment slightly alters the delay. There is reduction in delay when using Dynamic Aggregation Scheduler compared to without Dynamic Aggregation Scheduler. Generally as the packet size increases, Dynamic Aggregation Scheduler reduces the delay. Although, this scheduling algorithm produced better QoS results there were still some delay in the network.