Predictive Divert Failure Route Protocol for Mobile Ad-Hoc Networks Based on Ad-Hoc on Demand Distance Vector

A main characteristic of Mobile Ad-hoc Network (MANET) is that its node can move randomly, and due to this, the main challenge to MANET has always been the problem of link failure. Ad-hoc On-Demand Distance Vector (AODV) protocol is one of the widely used protocols in MANET. AODV uses local repair m...

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Main Author: Abdule, Sayid Mohamed
Format: Thesis
Language:English
Published: 2012
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Online Access:https://etd.uum.edu.my/3369/1/SAYID_MOHAMED_ABDULE.pdf
https://etd.uum.edu.my/3369/
http://sierra.uum.edu.my/record=b1239773~S1
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spelling my.uum.etd.33692022-04-10T05:51:46Z https://etd.uum.edu.my/3369/ Predictive Divert Failure Route Protocol for Mobile Ad-Hoc Networks Based on Ad-Hoc on Demand Distance Vector Abdule, Sayid Mohamed TK7885-7895 Computer engineering. Computer hardware A main characteristic of Mobile Ad-hoc Network (MANET) is that its node can move randomly, and due to this, the main challenge to MANET has always been the problem of link failure. Ad-hoc On-Demand Distance Vector (AODV) protocol is one of the widely used protocols in MANET. AODV uses local repair mechanism to solve the link failure problem, but this mechanism is suitable only when the link failure occurs near the destination. The aim of this research is to present a new routing protocol based on AODV, namely the Predictive Divert Failure Route Protocol (PDFRP). The protocol has been implemented in Network Simulator 2 (ns-2) where the following functions are added: Find New Path and Divert Route mechanisms. PDFRP utilizes link prediction mechanism to measure the signal strength. If it is lower than the threshold value, the Find New Path mechanism will search a new path, and then the Divert Route mechanism diverts the current data through the new route. The combination of these techniques used by PDFRP showed superior performance to AODV. However, the new mechanism works only with the single path routing protocols. Another limitation is the false prediction when two nodes are moving closer which may cause unnecessary overhead to the network. Despite the limitations, the new routing protocol increases the packet delivery ratio and throughput. In addition, it also decreases the packet loss and delay. All these new mechanisms help to improve the network performance and overall ad-hoc network efficiency, as well as to maximize network resource utilization. The experiment results showed that the PDFRP protocol outperforms AODV in terms of routing overhead, packet loss, average delay, packet delivery and throughput. 2012 Thesis NonPeerReviewed text en https://etd.uum.edu.my/3369/1/SAYID_MOHAMED_ABDULE.pdf Abdule, Sayid Mohamed (2012) Predictive Divert Failure Route Protocol for Mobile Ad-Hoc Networks Based on Ad-Hoc on Demand Distance Vector. PhD. thesis, Universiti Utara Malaysia. http://sierra.uum.edu.my/record=b1239773~S1
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Electronic Theses
url_provider http://etd.uum.edu.my/
language English
topic TK7885-7895 Computer engineering. Computer hardware
spellingShingle TK7885-7895 Computer engineering. Computer hardware
Abdule, Sayid Mohamed
Predictive Divert Failure Route Protocol for Mobile Ad-Hoc Networks Based on Ad-Hoc on Demand Distance Vector
description A main characteristic of Mobile Ad-hoc Network (MANET) is that its node can move randomly, and due to this, the main challenge to MANET has always been the problem of link failure. Ad-hoc On-Demand Distance Vector (AODV) protocol is one of the widely used protocols in MANET. AODV uses local repair mechanism to solve the link failure problem, but this mechanism is suitable only when the link failure occurs near the destination. The aim of this research is to present a new routing protocol based on AODV, namely the Predictive Divert Failure Route Protocol (PDFRP). The protocol has been implemented in Network Simulator 2 (ns-2) where the following functions are added: Find New Path and Divert Route mechanisms. PDFRP utilizes link prediction mechanism to measure the signal strength. If it is lower than the threshold value, the Find New Path mechanism will search a new path, and then the Divert Route mechanism diverts the current data through the new route. The combination of these techniques used by PDFRP showed superior performance to AODV. However, the new mechanism works only with the single path routing protocols. Another limitation is the false prediction when two nodes are moving closer which may cause unnecessary overhead to the network. Despite the limitations, the new routing protocol increases the packet delivery ratio and throughput. In addition, it also decreases the packet loss and delay. All these new mechanisms help to improve the network performance and overall ad-hoc network efficiency, as well as to maximize network resource utilization. The experiment results showed that the PDFRP protocol outperforms AODV in terms of routing overhead, packet loss, average delay, packet delivery and throughput.
format Thesis
author Abdule, Sayid Mohamed
author_facet Abdule, Sayid Mohamed
author_sort Abdule, Sayid Mohamed
title Predictive Divert Failure Route Protocol for Mobile Ad-Hoc Networks Based on Ad-Hoc on Demand Distance Vector
title_short Predictive Divert Failure Route Protocol for Mobile Ad-Hoc Networks Based on Ad-Hoc on Demand Distance Vector
title_full Predictive Divert Failure Route Protocol for Mobile Ad-Hoc Networks Based on Ad-Hoc on Demand Distance Vector
title_fullStr Predictive Divert Failure Route Protocol for Mobile Ad-Hoc Networks Based on Ad-Hoc on Demand Distance Vector
title_full_unstemmed Predictive Divert Failure Route Protocol for Mobile Ad-Hoc Networks Based on Ad-Hoc on Demand Distance Vector
title_sort predictive divert failure route protocol for mobile ad-hoc networks based on ad-hoc on demand distance vector
publishDate 2012
url https://etd.uum.edu.my/3369/1/SAYID_MOHAMED_ABDULE.pdf
https://etd.uum.edu.my/3369/
http://sierra.uum.edu.my/record=b1239773~S1
_version_ 1731228136333377536
score 13.159267