An Enhanced Perceptive Queuing Technique (CBCRTQ) for Traffic Management in VoIP Over MANET

Abstract

Traffic management in the VOIP transmission is the most important criteria and issue (to be maintained the packet). The traffic maintains packets and data as a source of outcome for VoIP (QoS) over Manet background. Queuing is one of the most important mechanisms in traffic executive. Mobile Adhoc network (MANETs) present a good platform for the fast deployment of VoIP services in many application scenarios. Ad hoc networks consist a set of identical node that moves freely, independently and communicate with other node via wireless links, the main challenge in extreme sensitivity to delay and packet loss in Voip over Manet. In this research a new algorithm proposed which enhance the performance of traffic load in VOIP carryover MANET environment. Through a simulation and mathematical expression we analyze and evaluate QoS parameters, in the existing method there is no load balanced queuing mechanism and lack in cluster selection prototype. Hence researcher proposed a new Class Based Cluster Round Trip Queue (CBCRTQ) algorithm for VoIP (QoS) over MANET. The main objective of this algorithm selection of cluster heads form a virtual backbone and may be used to route packets for nodes in their cluster. There is a need of traffic load balance at Cluster Round Trip methodology in VoIP, Simulation experiment makes clear that the future algorithm does provide longer cluster head selection and duration with traffic load-balancing.