INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY (IJCET)
GK Srinivasa Gowda, CV Srikrishna, Kashyap Dhruve · 2013
In order to have maximum utilization of the resources as well as to enhance the throughput of the network, its quality of service (QoS) plays a significant role. The decentralized characteristics of Ad hoc network need a highly optimized and enhanced technique for optimizing the fundamental performance parameters of network. An effective available bandwidth estimation approach and throughput optimization mechanisms might be the optimum solution for increasing throughput as well as QoS of network.The approach of estimating end-to-end delay in IEEE 802.11 multihop network might be an effective way for bandwidth estimation and optimum utilization of resources. In this paper, in order to estimate end-to-end delay in IEEE 802.11 network protocol, enhanced mathematical expressions have been developed in the service time patterns. In this paper the queuing theory approach called; M/M/1/K queue has been used and on the basis of it every consisting nodes have been modeled. In this work, in spite of employing mentioned approach, few more optimizing mechanisms for admission control and different delay estimation mechanisms have been considered for coming up with an effective and the best solution for end-to-end delay estimation in 802.11 network protocol. Thus combining these noble approaches, an optimum technique called “End to End Delay estimation (�������” in mobile wireless AdHoc Network has been developed, that facilitates QoS optimization with optimum bandwidth estimation and resource utilization. The proposed ������ mechanism has depicted great performances for bandwidth estimation and resource utilization in decentralized network as compared to networks of centralized nature. The simulation framework for proposed ������ has been developed on .net platform with C sharp programming language for varied network size and results has been obtained for different network parameters, where ������ has performed better in terms of lower packet drop ratio and lower processing delay while with higher packet success rate and lower end to end delay and thus depicting QoS optimization and optimum resource utilization in the wireless Adhoc network 802.11.