Adaptive Probabilistic Proactive Routing for Dense MANETs

Conventional proactive routing protocols, due to their inherent nature based on shortest paths, select longer links which are amenable to rapid breakages as nodes move around. In this paper, we propose a novel adaptive probabilistic approach to handle routing information in dense mobile ad hoc netwo...

Full description

Saved in:
Bibliographic Details
Main Authors: Abdelfettah Belghith, Mohamed Amine Abid, Adel Ben Mnaouer
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:Journal of Computer Networks and Communications
Online Access:http://dx.doi.org/10.1155/2012/234824
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832558581352759296
author Abdelfettah Belghith
Mohamed Amine Abid
Adel Ben Mnaouer
author_facet Abdelfettah Belghith
Mohamed Amine Abid
Adel Ben Mnaouer
author_sort Abdelfettah Belghith
collection DOAJ
description Conventional proactive routing protocols, due to their inherent nature based on shortest paths, select longer links which are amenable to rapid breakages as nodes move around. In this paper, we propose a novel adaptive probabilistic approach to handle routing information in dense mobile ad hoc networks in a way to improve the proactive routing pertinence as a function of network dynamics. We first propose a new proactive routing framework based on probabilistic decisions and a generic model to compute the existence probabilities of nodes and links. Then, we present a distributed algorithm to collect the cartography of the network. This cartography is used to instantiate the existence probabilities. Conducted simulations show that our proposal yields substantially better routing validity. Nonetheless, it amounts to much longer routes. We proposed then a bounding technique to adapt and overcome this side effect and defined two probabilistic proactive routing variants. Conducted simulations show that our proposed bounded probabilistic proactive routing schemes outperform conventional routing protocols and yield up to 66 percent increase in throughput.
format Article
id doaj-art-4249ffee001244dea01bd7870c6498ee
institution Kabale University
issn 2090-7141
2090-715X
language English
publishDate 2012-01-01
publisher Wiley
record_format Article
series Journal of Computer Networks and Communications
spelling doaj-art-4249ffee001244dea01bd7870c6498ee2025-02-03T01:32:02ZengWileyJournal of Computer Networks and Communications2090-71412090-715X2012-01-01201210.1155/2012/234824234824Adaptive Probabilistic Proactive Routing for Dense MANETsAbdelfettah Belghith0Mohamed Amine Abid1Adel Ben Mnaouer2HANA Research Group, Ecole Nationale des Sciences de l'Informatique (ENSI), University of Manouba, La Manouba 2010, TunisiaHANA Research Group, Ecole Nationale des Sciences de l'Informatique (ENSI), University of Manouba, La Manouba 2010, TunisiaCollege of Computer Engineering and IT, Dar Al Utoum, Al Mizan, Al Falah, Riyad 13314, Saudi ArabiaConventional proactive routing protocols, due to their inherent nature based on shortest paths, select longer links which are amenable to rapid breakages as nodes move around. In this paper, we propose a novel adaptive probabilistic approach to handle routing information in dense mobile ad hoc networks in a way to improve the proactive routing pertinence as a function of network dynamics. We first propose a new proactive routing framework based on probabilistic decisions and a generic model to compute the existence probabilities of nodes and links. Then, we present a distributed algorithm to collect the cartography of the network. This cartography is used to instantiate the existence probabilities. Conducted simulations show that our proposal yields substantially better routing validity. Nonetheless, it amounts to much longer routes. We proposed then a bounding technique to adapt and overcome this side effect and defined two probabilistic proactive routing variants. Conducted simulations show that our proposed bounded probabilistic proactive routing schemes outperform conventional routing protocols and yield up to 66 percent increase in throughput.http://dx.doi.org/10.1155/2012/234824
spellingShingle Abdelfettah Belghith
Mohamed Amine Abid
Adel Ben Mnaouer
Adaptive Probabilistic Proactive Routing for Dense MANETs
Journal of Computer Networks and Communications
title Adaptive Probabilistic Proactive Routing for Dense MANETs
title_full Adaptive Probabilistic Proactive Routing for Dense MANETs
title_fullStr Adaptive Probabilistic Proactive Routing for Dense MANETs
title_full_unstemmed Adaptive Probabilistic Proactive Routing for Dense MANETs
title_short Adaptive Probabilistic Proactive Routing for Dense MANETs
title_sort adaptive probabilistic proactive routing for dense manets
url http://dx.doi.org/10.1155/2012/234824
work_keys_str_mv AT abdelfettahbelghith adaptiveprobabilisticproactiveroutingfordensemanets
AT mohamedamineabid adaptiveprobabilisticproactiveroutingfordensemanets
AT adelbenmnaouer adaptiveprobabilisticproactiveroutingfordensemanets