A Robust Routing Strategy for Congestion Resilient Communication through Augmented Network-Aware and Multi-Parameter Assistance for Optimal Routing Decision in Zone Routing Protocol

Abstract

The drastic increase in the difficulties for Quality of Service (QoS) centred infrastructure-less wireless communication and transmission classifications have strengthened the academicians and allied industries to advance further efficient and resourceful routing strategies to assist reliable and robust communication. Considering a large-scale and wide scenario of wireless networks, the zone based routing protocols consists of approaches that contain both the reactive and proactive network management approaches have remained and found substantial; but outdated direction-finding conclusions confines its usefulness for dynamic topology based interacting explanations such as Mobile Ad Hoc Networks (MANETs). MANET undergoes exceptionally high network and topologically varying conditions and the change necessitates ideal routing archetypal with augmented and increased network-awareness and multi-parameter aided approach to attain best possible QoS provision. With this as the consideration and motivation, in this paper, a Congestion Resilient Communication through Augmented Network-Aware and Multi-Parameter Assistance for Optimal Routing strategy has been technologically suggested with advanced and congestion resilient tactics for QoS assurance over the MANETs. Unlike traditional Zone Routing Protocol, the proposed Optimal Routing Decision model applies integrated and multiple parameters from various layers of the OSI layer to perform various procedures like Differentiation of Service (DoS), Dynamic Resource Scheduling (DRS), Dynamic Link and Packet Speed Approximation, Congestion Detection and Avoidance models. The multi-network parameters based best path detection and formation, enables the proposed strategy to exhibit 97.92% and 92% Packet Delivery Ratio for Real Time and Non-Real Time Data respectively, which is more than the existing approaches.