Open Access

ARTICLE

Design of Fuzzy Logic Control Framework for QoS Routing in MANET

M. Vargheese^1,*, S. Vanithamani², D. Stalin David³, Ganga Rama Koteswara Rao⁴

1 Department of Computer Science and Engineering, PSN College of Engineering and Technology, Tirunelveli, 627152, Tamil Nadu, India
2 Department of Master of Computer Applications, M. Kumarasamy College of Engineering, Karur, 639113, Tamil Nadu, India
3 Department of Information Technology, Veltech Multitech Dr. Rangarajan Dr. Sakunthala Engineering College, Chennai, 600062, Tamil Nadu, India
4 Department of Computer Science and Information Technology, Koneru Lakshmaiah Education Foundation, Vaddeswaram, 522502, Andhra Pradesh, India

* Corresponding Author: M. Vargheese. Email:

Intelligent Automation & Soft Computing 2023, 35(3), 3479-3499. https://doi.org/10.32604/iasc.2023.030948

Received 06 April 2022; Accepted 26 May 2022; Issue published 17 August 2022

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 QoS-responsible 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.

---

Keywords

---