Throughput optimized using evolutionary computing to guarantee QoS in IEEE 802.16 networks

The rapid growth of technology and smart phone industries has led to growth of wireless communication. Recent trends show that there is increasing in network traffic due to sharing of multimedia data such as VoIP (Voice over internet protocol), video conferencing, IPTV and so on. These services require strict QoS (Quality of Service) and network resources. To cater, new network protocol such as 4G and 5G is developed. However it induces high networkdeployment cost. The Wimax 802.16 network is currently adopted by all major service providers. Therefore the Wimax network has to provision policies and QoS for varied application. However, the WiMax does not provide implementation of these QoS policies for various application needs. Various scheduling mechanism has been developed in recent time for QoS provisioning. However these models are not efficient, due to improper synchronization of users. To develop an efficient QoS provisioning model by adopting evolutionary computing for finding ideal threshold, this work presents an uplink scheduling that minimize transmission error, buffer delay for low priority connection. The experiments are conducted to evaluate the performance of proposed model interm of throughput efficiency and slot utilization. The model achieves significant performance improvement over existing approach.