Route discovery based on energy-distance aware routing scheme for MANET

Route discovery proses in a Mobile Ad hoc Network (MANET) is challenging due to the limitation of energy at each network node. The energy constraint limits network connection lifetime thus affecting the routing process. Therefore, it is necessary for each node in the network to calculate routing fac...

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Main Author: Jailani, Abdul Kadir
Format: Thesis
Language:en
en
Published: 2016
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Online Access:https://etd.uum.edu.my/6043/1/s92347_01.pdf
https://etd.uum.edu.my/6043/2/s92347_02.pdf
https://etd.uum.edu.my/6043/
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author Jailani, Abdul Kadir
author_facet Jailani, Abdul Kadir
author_sort Jailani, Abdul Kadir
building UUM Library
collection Institutional Repository
content_provider Universiti Utara Malaysia
content_source UUM Electronic Theses
continent Asia
country Malaysia
description Route discovery proses in a Mobile Ad hoc Network (MANET) is challenging due to the limitation of energy at each network node. The energy constraint limits network connection lifetime thus affecting the routing process. Therefore, it is necessary for each node in the network to calculate routing factor in terms of energy and distance in deciding optimal candidate relay nodes needed to forward packets. This study proposes a new route discovery mechanism called the Energy-Distance Routing Aware (EDRA) that determines the selection of nodes during route discovery process to improve the network connection lifetime. This mechanism comprises of three schemes namely the Energy-Distance Factor Aware (EDFA), the Energy-Distance Forward Strategy (EDFS), and the Energy-Aware Route Selection (EARS). The EDFA scheme begins by calculating each nodes energy level (ei) and the distance (di) to the neighbouring nodes to produce the energy-distance factor value used in selecting the relay nodes. Next, the EDFS scheme forwards route request packets within discovery area of relay nodes based on the number of nodes. Then, the EARS scheme selects stable routing path utilising updated status information from EDFA and EDFS. The evaluation of EDRA mechanism is performed using network simulator Ns2 based on a defined set of performance metrics, scenarios and network scalability. The experimental results show that the EDRA gains significant improvement in the network connection lifetime when compared to those of the similar mechanisms, namely the AODV and the DREAM. EDRA also optimises energy consumption by utilising efficient forwarding decisions on varying scale of network nodes. Moreover, EDRA maximizes network connection lifetime while preserving throughput and packet drop ratio. This study contributes toward developing an efficient energy-aware routing to sustain longer network connection lifetime in MANET environment. The contribution is significant in promoting the use of green and sustainable next generation network technology.
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spelling my.uum.etd-60432021-04-05T02:41:52Z https://etd.uum.edu.my/6043/ Route discovery based on energy-distance aware routing scheme for MANET Jailani, Abdul Kadir TK7885-7895 Computer engineering. Computer hardware Route discovery proses in a Mobile Ad hoc Network (MANET) is challenging due to the limitation of energy at each network node. The energy constraint limits network connection lifetime thus affecting the routing process. Therefore, it is necessary for each node in the network to calculate routing factor in terms of energy and distance in deciding optimal candidate relay nodes needed to forward packets. This study proposes a new route discovery mechanism called the Energy-Distance Routing Aware (EDRA) that determines the selection of nodes during route discovery process to improve the network connection lifetime. This mechanism comprises of three schemes namely the Energy-Distance Factor Aware (EDFA), the Energy-Distance Forward Strategy (EDFS), and the Energy-Aware Route Selection (EARS). The EDFA scheme begins by calculating each nodes energy level (ei) and the distance (di) to the neighbouring nodes to produce the energy-distance factor value used in selecting the relay nodes. Next, the EDFS scheme forwards route request packets within discovery area of relay nodes based on the number of nodes. Then, the EARS scheme selects stable routing path utilising updated status information from EDFA and EDFS. The evaluation of EDRA mechanism is performed using network simulator Ns2 based on a defined set of performance metrics, scenarios and network scalability. The experimental results show that the EDRA gains significant improvement in the network connection lifetime when compared to those of the similar mechanisms, namely the AODV and the DREAM. EDRA also optimises energy consumption by utilising efficient forwarding decisions on varying scale of network nodes. Moreover, EDRA maximizes network connection lifetime while preserving throughput and packet drop ratio. This study contributes toward developing an efficient energy-aware routing to sustain longer network connection lifetime in MANET environment. The contribution is significant in promoting the use of green and sustainable next generation network technology. 2016 Thesis NonPeerReviewed text en https://etd.uum.edu.my/6043/1/s92347_01.pdf text en https://etd.uum.edu.my/6043/2/s92347_02.pdf Jailani, Abdul Kadir (2016) Route discovery based on energy-distance aware routing scheme for MANET. PhD. thesis, Universiti Utara Malaysia.
spellingShingle TK7885-7895 Computer engineering. Computer hardware
Jailani, Abdul Kadir
Route discovery based on energy-distance aware routing scheme for MANET
title Route discovery based on energy-distance aware routing scheme for MANET
title_full Route discovery based on energy-distance aware routing scheme for MANET
title_fullStr Route discovery based on energy-distance aware routing scheme for MANET
title_full_unstemmed Route discovery based on energy-distance aware routing scheme for MANET
title_short Route discovery based on energy-distance aware routing scheme for MANET
title_sort route discovery based on energy-distance aware routing scheme for manet
topic TK7885-7895 Computer engineering. Computer hardware
url https://etd.uum.edu.my/6043/1/s92347_01.pdf
https://etd.uum.edu.my/6043/2/s92347_02.pdf
https://etd.uum.edu.my/6043/
url_provider http://etd.uum.edu.my/