Bandwidth Aware Queue Management and Packet Scheduling Schemes for QoS in Mobile Ad Hoc Networks

Abstract

Mobile Ad-hoc networks (MANET) is one of the self-configuring and infrastructure less connected wireless networks, which consists of the end hosts and routers. The main issue in the Mobile Ad-hoc networks is a bandwidth aware queue management and quality of the services while sharing the packets in the network. These challenges increase the traffic in the real time applications and consume energy in the MANET. So, the proposed system improves the Quality of the Service (QoS) by applying the Hierarchical Fair Service Curve (HFSC) packet scheduling algorithm and the Fisheye State Routing protocol. The proposed algorithm uses the link-sharing services scheme to maintain the real time application with high quality of services, minimum delay and high throughput. Thus, the proposed system can be applied in the NS2 simulation too. The performance of QoS is evaluated with the help of the performance metrics such as, Average delay, Average throughput, Routing overhead, Packet delivery ratio. It is now well known that employing channel knowledge based signaling techniques in wireless mobile ad-hoc networks systems can yield large improvements in almost any performance metric. In Large-scale antenna systems (‘ ’), the number of user is generally much lesser than the base station antennas. Many users are isolated their end and the only way to interact with their end node is through the gateway that connected with more than one antenna, and employing the Zero Forcing (ZF) method in MANETs. The adaptive scheduling is carried out based upon the bandwidth information of channel. The ZF method has been assumed to eliminate the interference at the user nodes, end nodes and gateway sides. By extending the characteristics of ZF, the modified Zero Forcing ( ) has proposed to achieve higher throughput rate and average sum rate, which will cause reduction in error rate. The achievablerates of the ZF and MZF has derived under the comprehensive model of imperfect bandwidth information.