Hybrid AODV: An Efficient Routing Protocol for Manet Using MFR and Firefly Optimization Technique

Author:

GOYAL ANKUR1,SHARMA VIVEK KUMAR2,KUMAR SANDEEP3,POONIA RAMESH CHANDRA4ORCID

Affiliation:

1. KL (Deemed to be University), Hyderabad-500075, Telangana, India

2. Jagannath University, Jaipur, India

3. CHRIST (Deemed to be University), Bangalore-560074, Karnataka, India

4. Amity University Rajasthan, Jaipur, India

Abstract

A MANET is a category of ad hoc protocol that could vary positions and track itself on the flutter. It utilizes wireless connections that are attached to several networks. They include wirelessly in a self-configured, self-healing network while not having permanent communication linked in a collection of mobile networks. The network topology of nodes typically varies in MANET, and nodes are free to stir errantly and independently as a router as they accelerate traffic to more nodes within the network. Ad hoc on-demand distance vector (AODV) was employed for node selection to attain the shortest path strategy in existing techniques. In the proposed system, the hybrid AODV (HAODV) technique incorporates the MFR (Most Forward within Radius) technique to detect the shortest path routing algorithm. The MFR method was deployed for selecting the neighbor node, while HAODV was deployed to find the shortest path. To find the shortest path based on the updating equation, the Firefly algorithm is also implemented into the Hybrid AODV. The proposed work’s performance is calculated by different network parameters like the end to end delay, average routing overhead, throughput, and packet delivery ratio. After comparing AODV and DSR algorithms, the proposed algorithm (HAODV) shows improvement in packet delivery ratio, end-to-end delay, Routing overhead, and throughput.

Publisher

World Scientific Pub Co Pte Lt

Subject

Computer Networks and Communications

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4. A Secure and Intelligent Approach for Next-Hop Selection Algorithm for Successful Data Transmission in Wireless Network;Advances in Intelligent Systems and Computing;2022

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