LAUSR

The growing demand for multimedia communication has resulted in tougher requirements of quality of service (QoS). Today, QoS necessitates the deployment of powerful and efficient networks. Worldwide Interoperability for Microwave Access (WiMAX) is regarded as a promising technology in the field of wireless communication. In fact, WiMAX network is considered the best network to support real-time as well as non-real-time applications in varied conditions of a simulated environment. Wireless communication requires uplink and downlink scheduling for communication among base station subscribers. Scheduling is still a challenging task for researchers. In this work, we propose an evolutionary computational scheme for downlink scheduling that brings in substantial improvisations in the QOS of a network system. The proposed approach simplifies the scheduling scheme for varied service schemes such as UGS, rtPS, nrtPS. We extend some improved computational strategies to our proposed approach in order to control data communication as well as route formation in signal information. We also use a computational approach, i.e., passage relocation admission control to perform automatic selection of base station with similar data operations. We further seek to analyze the role of data communication and packet dropping in wireless network communication. Our experimental study shows an improved performance of the proposed model in terms of slot/success ratio, throughput and energy consumption. As it happens, we succeed in recording 7% improvement in throughput performance, 10.34% improvement in slot/success ratio performance, and quite significantly, a 28% reduction in energy consumption based on the simulation time.