The effect of network’s size on the performance of the gGateway discovery and selection scheme for MANEMO

Abstract In the era of Internet technology, new applications are developed everyday requiring continuous and seamless connections. This urges for access availability solutions to the new scenarios. One of the critical architecture is the Mobile Ad-Hoc Network Mobility (MANEMO). However, the integrat...

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Main Authors: Zainab S., Mahmod, Hassan Abdalla Hashim, Aisha, Khalifa, Othman Omran, Anwar, Farhat, Hameed, Shihab Ahmed
Format: Article
Language:English
English
Published: 2017
Subjects:
Online Access:http://irep.iium.edu.my/60569/
http://irep.iium.edu.my/60569/
http://irep.iium.edu.my/60569/1/Zainab.pdf
http://irep.iium.edu.my/60569/7/60569_The%20effect%20of%20network%E2%80%99s%20size%20on%20the%20performance%20scheme%20for%20MANEMO_SCOPUS.pdf
id iium-60569
recordtype eprints
spelling iium-605692018-03-01T17:40:38Z http://irep.iium.edu.my/60569/ The effect of network’s size on the performance of the gGateway discovery and selection scheme for MANEMO Zainab S., Mahmod Hassan Abdalla Hashim, Aisha Khalifa, Othman Omran Anwar, Farhat Hameed, Shihab Ahmed TK7885 Computer engineering Abstract In the era of Internet technology, new applications are developed everyday requiring continuous and seamless connections. This urges for access availability solutions to the new scenarios. One of the critical architecture is the Mobile Ad-Hoc Network Mobility (MANEMO). However, the integration of Ad-hoc and NEMO technologies came out with many complications like redundant tunnels and the existence of multiple Exit Routers. This paper presents a scheme to discover and select the optimum gateway to improve the robustness and the performance of the network irrespective of the used routing protocol. The MANEMO Gateway discovery and selection scheme (MGDSS) extends the Tree Discovery Protocol and the Neighborhood Discovery protocol used by NEMO and Ad-Hoc to carry the necessary gateway selection parameters. To compare the effect of network’s size on the performance of the proposed scheme, the standard NEMO BSP and the Multi-homed MANEMO (M-MANEMO) approaches OPNET Modeler 14.5 was used. The results show that the average data packets dropped, the end-to-end delay and the throughput of the proposed MGDSS outperform those for the standard M-MANEMO and standard NEMO BSP. Keywords: Gateway Selection, Mobile Ad Hoc NEMO, MANEMO, Network Mobility, MANET , , 2017-12-11 Article PeerReviewed application/pdf en http://irep.iium.edu.my/60569/1/Zainab.pdf application/pdf en http://irep.iium.edu.my/60569/7/60569_The%20effect%20of%20network%E2%80%99s%20size%20on%20the%20performance%20scheme%20for%20MANEMO_SCOPUS.pdf Zainab S., Mahmod and Hassan Abdalla Hashim, Aisha and Khalifa, Othman Omran and Anwar, Farhat and Hameed, Shihab Ahmed (2017) The effect of network’s size on the performance of the gGateway discovery and selection scheme for MANEMO. Indonesian Journal of Electrical Engineering and Informatics (IJEEI), 5 (4). pp. 351-356. ISSN 2089-3272 DOI: 10.11591/ijeei.v5i4.358
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
English
topic TK7885 Computer engineering
spellingShingle TK7885 Computer engineering
Zainab S., Mahmod
Hassan Abdalla Hashim, Aisha
Khalifa, Othman Omran
Anwar, Farhat
Hameed, Shihab Ahmed
The effect of network’s size on the performance of the gGateway discovery and selection scheme for MANEMO
description Abstract In the era of Internet technology, new applications are developed everyday requiring continuous and seamless connections. This urges for access availability solutions to the new scenarios. One of the critical architecture is the Mobile Ad-Hoc Network Mobility (MANEMO). However, the integration of Ad-hoc and NEMO technologies came out with many complications like redundant tunnels and the existence of multiple Exit Routers. This paper presents a scheme to discover and select the optimum gateway to improve the robustness and the performance of the network irrespective of the used routing protocol. The MANEMO Gateway discovery and selection scheme (MGDSS) extends the Tree Discovery Protocol and the Neighborhood Discovery protocol used by NEMO and Ad-Hoc to carry the necessary gateway selection parameters. To compare the effect of network’s size on the performance of the proposed scheme, the standard NEMO BSP and the Multi-homed MANEMO (M-MANEMO) approaches OPNET Modeler 14.5 was used. The results show that the average data packets dropped, the end-to-end delay and the throughput of the proposed MGDSS outperform those for the standard M-MANEMO and standard NEMO BSP. Keywords: Gateway Selection, Mobile Ad Hoc NEMO, MANEMO, Network Mobility, MANET , ,
format Article
author Zainab S., Mahmod
Hassan Abdalla Hashim, Aisha
Khalifa, Othman Omran
Anwar, Farhat
Hameed, Shihab Ahmed
author_facet Zainab S., Mahmod
Hassan Abdalla Hashim, Aisha
Khalifa, Othman Omran
Anwar, Farhat
Hameed, Shihab Ahmed
author_sort Zainab S., Mahmod
title The effect of network’s size on the performance of the gGateway discovery and selection scheme for MANEMO
title_short The effect of network’s size on the performance of the gGateway discovery and selection scheme for MANEMO
title_full The effect of network’s size on the performance of the gGateway discovery and selection scheme for MANEMO
title_fullStr The effect of network’s size on the performance of the gGateway discovery and selection scheme for MANEMO
title_full_unstemmed The effect of network’s size on the performance of the gGateway discovery and selection scheme for MANEMO
title_sort effect of network’s size on the performance of the ggateway discovery and selection scheme for manemo
publishDate 2017
url http://irep.iium.edu.my/60569/
http://irep.iium.edu.my/60569/
http://irep.iium.edu.my/60569/1/Zainab.pdf
http://irep.iium.edu.my/60569/7/60569_The%20effect%20of%20network%E2%80%99s%20size%20on%20the%20performance%20scheme%20for%20MANEMO_SCOPUS.pdf
first_indexed 2023-09-18T21:25:52Z
last_indexed 2023-09-18T21:25:52Z
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