An artificial intelligence based X-AODV routing protocol for MANET

In wireless network environment all nodes behave in multi-hope paradigm, in which every node contains information about the link and connectivity in infrastructure-less manner. If any node moves from its original place to another with or without prescribed manner it called mobile network MANET. To m...

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Main Authors: Hussain, Khalid, Abdullah, Abdul Hanan, Awan, Khalid M., Ihsan, Zohair
Format: Article
Published: IDOSI Publications 2013
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Online Access:http://eprints.utm.my/id/eprint/50588/
https://www.idosi.org
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spelling my.utm.505882018-11-09T08:11:25Z http://eprints.utm.my/id/eprint/50588/ An artificial intelligence based X-AODV routing protocol for MANET Hussain, Khalid Abdullah, Abdul Hanan Awan, Khalid M. Ihsan, Zohair QA75 Electronic computers. Computer science In wireless network environment all nodes behave in multi-hope paradigm, in which every node contains information about the link and connectivity in infrastructure-less manner. If any node moves from its original place to another with or without prescribed manner it called mobile network MANET. To maintain the updated information about the location as well as routing of the node, some efficient protocols such as AODV, DSR, DSDV etc are been used currently. In wireless network paradigm where other issues are there, but security becomes is a very important aspect. In wireless network transmission becomes disrupt when attacks becomes occur. Those attacks can be imposing on any OSI layer, Physical, Network and Transport layer. In this paper we presented an Artificial Intelligence based efficient and secure X-AODV routing protocol for intelligently adaptation secure and congestion-less path. We compare our proposed protocol with two latest modified protocols (SAODV and ARAN) and simulation results show that our proposed routing protocol provides a better attack detection and provide security and performance than existing works. The simulation results show the improvement of the network performance with secure path adaptation as well as minimum delay. IDOSI Publications 2013 Article PeerReviewed Hussain, Khalid and Abdullah, Abdul Hanan and Awan, Khalid M. and Ihsan, Zohair (2013) An artificial intelligence based X-AODV routing protocol for MANET. World Applied Sciences Journal, 23 (4). pp. 541-548. ISSN 1818-4952 https://www.idosi.org
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Hussain, Khalid
Abdullah, Abdul Hanan
Awan, Khalid M.
Ihsan, Zohair
An artificial intelligence based X-AODV routing protocol for MANET
description In wireless network environment all nodes behave in multi-hope paradigm, in which every node contains information about the link and connectivity in infrastructure-less manner. If any node moves from its original place to another with or without prescribed manner it called mobile network MANET. To maintain the updated information about the location as well as routing of the node, some efficient protocols such as AODV, DSR, DSDV etc are been used currently. In wireless network paradigm where other issues are there, but security becomes is a very important aspect. In wireless network transmission becomes disrupt when attacks becomes occur. Those attacks can be imposing on any OSI layer, Physical, Network and Transport layer. In this paper we presented an Artificial Intelligence based efficient and secure X-AODV routing protocol for intelligently adaptation secure and congestion-less path. We compare our proposed protocol with two latest modified protocols (SAODV and ARAN) and simulation results show that our proposed routing protocol provides a better attack detection and provide security and performance than existing works. The simulation results show the improvement of the network performance with secure path adaptation as well as minimum delay.
format Article
author Hussain, Khalid
Abdullah, Abdul Hanan
Awan, Khalid M.
Ihsan, Zohair
author_facet Hussain, Khalid
Abdullah, Abdul Hanan
Awan, Khalid M.
Ihsan, Zohair
author_sort Hussain, Khalid
title An artificial intelligence based X-AODV routing protocol for MANET
title_short An artificial intelligence based X-AODV routing protocol for MANET
title_full An artificial intelligence based X-AODV routing protocol for MANET
title_fullStr An artificial intelligence based X-AODV routing protocol for MANET
title_full_unstemmed An artificial intelligence based X-AODV routing protocol for MANET
title_sort artificial intelligence based x-aodv routing protocol for manet
publisher IDOSI Publications
publishDate 2013
url http://eprints.utm.my/id/eprint/50588/
https://www.idosi.org
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score 13.2014675