z-logo
open-access-imgOpen Access
Predict Link Failure in AODV Protocol to provide Quality of Service in MANET
Author(s) -
Sedrati Maamar,
Benyahia Abderezzak
Publication year - 2016
Publication title -
international journal of computer network and information security
Language(s) - English
Resource type - Journals
eISSN - 2074-9104
pISSN - 2074-9090
DOI - 10.5815/ijcnis.2016.03.01
Subject(s) - computer science , computer network , mobile ad hoc network , ad hoc on demand distance vector routing , link (geometry) , protocol (science) , quality of service , routing protocol , optimized link state routing protocol , routing (electronic design automation) , medicine , network packet , alternative medicine , pathology
Quality of Service (QoS) in Ad hoc networks (MANETs) and more precisely in routing is the subject of several studies with the aim of providing better solutions for new applications requiring high throughput and very low delay. The objective of this work is to enhance the AODV (Ad hoc On Demand Distance Vector) routing strategy in maintenance phase, to improve QoS. It aims to add a mechanism able to predict link failure in use based on signal strength which is able to determine if the quality of link will be improved (i.e. stable) or more bad (i.e. probability of failure) in order to allow us not only to make the link management more robust but to anticipate on link breaking and improve QoS. When signal quality is declining due to neighbor node remoteness, a discovery of a part of road rescue with two hops will be established and it will be used when disconnection happens. Simulations under Network Simulator (Ns2) were conducted to measure traffic control, packets delivery and lost ratio in original protocol and modified version which are presented in this paper. Index Terms—Mobile Ad hoc Networks (MANET), AODV protocol, QoS, routing, signal strength, stable connection, Network Simulator NS2.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom