Multipath routing approach to enhance resiliency and scalability in ad-hoc networks

Autor: Nikolaos Pavlatos, Alexandros Ladas, Christos Politis, Nuwan Weerasinghe
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Routing protocol
Dynamic Source Routing
Wireless ad hoc network
Computer science
Distributed computing
Enhanced Interior Gateway Routing Protocol
Mobile computing
Wireless Routing Protocol
02 engineering and technology
Network topology
Routing Information Protocol
0202 electrical engineering
electronic engineering
information engineering
Network performance
Destination-Sequenced Distance Vector routing
Hierarchical routing
computer
Static routing
Zone Routing Protocol
Adaptive quality of service multi-hop routing
business.industry
ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS
Policy-based routing
Path vector protocol
020206 networking & telecommunications
020207 software engineering
Mobile ad hoc network
Ad hoc wireless distribution service
Distance-vector routing protocol
Optimized Link State Routing Protocol
Link-state routing protocol
Interior gateway protocol
Multipath routing
Expected transmission count
Hazy Sighted Link State Routing Protocol
business
Computer network
Zdroj: 2016 IEEE International Conference on Communications (ICC)
ICC
Popis: This paper presents Multipath-ChaMeLeon (MCML) as an update of the existing ChaMeLeon (CML) routing protocol. CML is a hybrid and adaptive protocol designed for Mobile Ad-Hoc Networks (MANETs), supporting emergency communications. M-CML adopts the attributes of the proactive Optimized Link State Protocol (OLSR) and extends it so as to implement a multipath routing approach based on the Expected Transmission Count (ETX). The paper substantiates the efficiency of the protocol through a simulation scenario within a MANET using the NS-3 simulator. The acquired results indicate that M-CML routing approach combined with an intelligent link metric such as the ETX reduces the effects of link instabilities and enhances the network performance in terms of resiliency and scalability.
Databáze: OpenAIRE
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