A Novel Congestion Control Scheme for Heterogenous Wireless Ad Hoc Networks using Self Adjust Hybrid Model

Abstract

Fault tolerance high performing data transmission in a heterogeneous network without congestion and throughput is really a challenging task. Wireless Ad hoc Networks (WANET) is the collection of wireless mobile nodes (devices) that are able to dynamically form a dynamic network without the use of any existing network infrastructure or centralized administration. This thesis discusses about the congestion control which is the one of the major issue in WANET. Here, predominant focus is on delivering a state of the art paradigm to form an error free transfer of data with the congestion control in dynamic easily adaptable wireless Ad hoc networks. newlineThe decentralized nature of wireless ad-hoc networks makes them suitable for a variety of applications where distributed nodes cannot be relied on and may improve the scalability of networks compared to wireless managed networks. The Congestion control is an essential building block of data communication networks and that makes end-hosts decide on how fast they can send packets to a destination over the network. An effective congestion control protocol enforces an efficient and fair sharing of the underlying network capacity among multiple competing applications. Predicting congestion in dynamic multinode wireless Ad hoc networks pretends to be complex task because of distributed multinodes environment. newlineThe proposed routing protocol incorporates relative distance, direction and mid-range forwarder node after detecting the optimal route prediction using filter with traffic density to forward the data towards the destination in order to improve physical forwarding between and at the intersection. Simulation results show that the proposed routing protocol and SH Model performs better as compared to existing solutions. The presence of dynamic and adaptive routing protocols enabled ad hoc networks to be formed quickly. The model proved especially effective to predict large workload that demands very long execution time as well. The network layer routing protocol has to be newlinevi newlineimproved to resolve dynamically changing network topologies and broken routes. newlineThe usage of proactive or POPR (Path Observation Based Physical Routing) protocol with SH Model (self-adjust hybrid model) stimulates the transmission across the distributed nodes without congestion. newline