SDODV: A smart and adaptive on-demand distance vector routing protocol for MANETs

Mobile ad hoc networks (MANETS) are nodes connected in a peer-to-peer fashion. Because MANETs have challenging characteristics such as mobility and limited energy, traditional existing routing protocols are not very efficient – they suffer several limitations in terms of network stability and lifeti...

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Bibliographic Details
Published inPeer-to-peer networking and applications Vol. 16; no. 5; pp. 2325 - 2348
Main Authors Kaddoura, Sanaa, Haraty, Ramzi A., Al Jahdali, Sultan, Assi, Maram
Format Journal Article
LanguageEnglish
Published New York Springer US 01.09.2023
Springer Nature B.V
Subjects
Adaptive algorithms
Communications Engineering
Computer Communication Networks
Energy consumption
Engineering
Information Systems and Communication Service
Mobile ad hoc networks
Network topologies
Networks
Nodes
Protocol
Residential density
Routing (telecommunications)
Shortest-path problems
Signal,Image and Speech Processing
Shortest path
Q-learning
Routing algorithms
Adaptive protocol
Mobile ad hoc networks
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Summary:Mobile ad hoc networks (MANETS) are nodes connected in a peer-to-peer fashion. Because MANETs have challenging characteristics such as mobility and limited energy, traditional existing routing protocols are not very efficient – they suffer several limitations in terms of network stability and lifetime, especially in the emerging era of IoT, crowd-sensing, and smart cities. In this work, we present SDODV, a new smart and dynamic on-demand distance vector routing protocol for mobile ad hoc networks that addresses the shortcomings of existing routing protocols. Our proposed adaptive algorithm effectively increases the built network’s lifetime by considering the network topology when establishing a route. It monitors the traffic load, nodes mobility, neighborhood density, and battery power to adjust packets accordingly. This protocol is based on the distributed reinforcement learning approach and on the traditional AODV. SDODV improves the quality of service because it chooses the shortest and most stable path while considering mobility, bandwidth, and power. Experimental results prove that SDODV outperforms the shortest path method and reduces energy consumption.
ISSN:1936-6442
1936-6450
DOI:10.1007/s12083-023-01530-9