Design of Fuzzy Logic Control Framework for QoS Routing in MANET

Abstract

Wireless networks with no infrastructure arise as a result of multiple wireless devices working together. The Mobile Ad hoc Network (MANET) is a system for connecting independently located Mobile Nodes (MNs) via wireless links. A MANET is self-configuring in telecommunications, while MN produces non-infrastructure networks that are entirely decentralized. Both the MAC and routing layers of MANETs take into account issues related to Quality of Service (QoS). When culling a line of optical discernment communication, MANET can be an effective and cost-saving route cull option. To maintain QoS, however, more or fewer challenges must be overcome. This paper proposes a Fuzzy Logic Control (FLC) methodology for specifying a probabilistic QoS guaranteed for MANETs. The framework uses network node mobility to establish the probabilistic quality of service. Fuzzy Logic (FL) implementations were added to Network Simulator-3 (NS-3) and used with the proposed FLC framework for simulation. Researchers have found that for a given node's mobility, the path's bandwidth decreases with time, hop count, and radius. It is resolutely based on this fuzzy rule that the priority index for a packet is determined. Also, by avoiding sending packets (PKT) out of source networks when there are no beneficial routes, bandwidth is not wasted. The FLC outperforms the scheduling methods with a wide range of results. To improve QoS within MANETs, it is therefore recommended that FLC is used to synchronize packets. Thus, using these performance metrics, the QoSresponsible routing can opt for more stable paths. Based on network simulation, it is evident that incorporating QoS into routing protocols is meant to improve traffic performance, in particular authentic-time traffic.

A study on routing metrics to improve the quality of service in MANET environment

“…An approach based on Fuzzy Logic Control (FLC) is proposed by Vargheese et al [17] to establish a probabilistic quality of service guarantee for MANETs. The probabilistic quality of service is determined by the framework using the mobility of network nodes.…”

Fuzzy-ZRP: An Adaptive MANET Radius Zone Routing Protocol

“…In ZRP fuzzy-based scheduling and load balance [22], the service cycles of the border nodes are adaptively adjusted according to the state of the queue, the expected residual energy, and the distance to the border nodes. In [23], a logic-based control (FLC) method was proposed to improve QoS for MANETs. As in ZRP, the mobility of the network nodes was used to establish probabilistic QoS.…”

Optimization of Mobile Ad-hoc Networks Communication Using Ad-hoc On-demand Multipath Distance Vector With Novel Aging Multi Population Strategy for Effectual Energy Utilization

“…The absence of centralized management in mobile wireless ad hoc networks causes several issues [2]. Because of mobile nodes, routing techniques respond to dynamic routing, increasing network congestion control [3].Maintaining effective networking and Quality of services (QoS) while taking appropriate broadband and power restrictions into account are still challenging. Hierarchical structures scale effectively because Mobile nodes have many mobile nodes [4].…”