AntNet: a robust routing algorithm for data networks
Successful implementation and operation of a network largely depends on the routing algorithm in use. To date, several routing algorithms are in use but the problem with these algorithms is that they are either not adaptive or not robust enough, thus limiting the proper use of bandwidth. AntNet is a...
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| Format: | Article |
| Language: | English |
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IIUM Press
2004
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| Online Access: | http://irep.iium.edu.my/32002/ http://irep.iium.edu.my/32002/1/373-1577-1-SM.pdf |
| _version_ | 1848780481557954560 |
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| author | Haseeb, Shariq Sidek, Khairul Azami Ismail, Ahmad Faris Weng Kin, Lai Yit Mei, Aw |
| author_facet | Haseeb, Shariq Sidek, Khairul Azami Ismail, Ahmad Faris Weng Kin, Lai Yit Mei, Aw |
| author_sort | Haseeb, Shariq |
| building | IIUM Repository |
| collection | Online Access |
| description | Successful implementation and operation of a network largely depends on the routing algorithm in use. To date, several routing algorithms are in use but the problem with these algorithms is that they are either not adaptive or not robust enough, thus limiting the proper use of bandwidth. AntNet is an innovative algorithm that may be used for data networks. It is a combination of both static and dynamic routing algorithms. In this algorithm, a group of mobile agents (compared to real ants) form paths between source and destination nodes. They explore the network continuously and
exchange obtained information indirectly, in order to update the routing tables at different nodes. Our version of AntNet (hereinafter referred to as AntNet2.0) has been improved to overcome the problems with other algorithms. This paper compares the performance of AntNet2.0 against two other commercially popular algorithms, viz. link state routing algorithm and distant vector routing algorithm. The performance matrix used to compare the algorithms is based on average throughput, packet loss, packet drop and end-to-end delay. Convergence time for this algorithm on a nation-wide telecommunications network will also be discussed. Conclusions and areas of further work will also be presented in lucid manner, so that it may be transformed into real
practice in the future. |
| first_indexed | 2025-11-14T15:34:21Z |
| format | Article |
| id | iium-32002 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T15:34:21Z |
| publishDate | 2004 |
| publisher | IIUM Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-320022020-06-24T06:49:38Z http://irep.iium.edu.my/32002/ AntNet: a robust routing algorithm for data networks Haseeb, Shariq Sidek, Khairul Azami Ismail, Ahmad Faris Weng Kin, Lai Yit Mei, Aw TK7885 Computer engineering Successful implementation and operation of a network largely depends on the routing algorithm in use. To date, several routing algorithms are in use but the problem with these algorithms is that they are either not adaptive or not robust enough, thus limiting the proper use of bandwidth. AntNet is an innovative algorithm that may be used for data networks. It is a combination of both static and dynamic routing algorithms. In this algorithm, a group of mobile agents (compared to real ants) form paths between source and destination nodes. They explore the network continuously and exchange obtained information indirectly, in order to update the routing tables at different nodes. Our version of AntNet (hereinafter referred to as AntNet2.0) has been improved to overcome the problems with other algorithms. This paper compares the performance of AntNet2.0 against two other commercially popular algorithms, viz. link state routing algorithm and distant vector routing algorithm. The performance matrix used to compare the algorithms is based on average throughput, packet loss, packet drop and end-to-end delay. Convergence time for this algorithm on a nation-wide telecommunications network will also be discussed. Conclusions and areas of further work will also be presented in lucid manner, so that it may be transformed into real practice in the future. IIUM Press 2004 Article PeerReviewed application/pdf en http://irep.iium.edu.my/32002/1/373-1577-1-SM.pdf Haseeb, Shariq and Sidek, Khairul Azami and Ismail, Ahmad Faris and Weng Kin, Lai and Yit Mei, Aw (2004) AntNet: a robust routing algorithm for data networks. International Islamic University Malaysia Engineering Journal, 5 (1). pp. 1-12. ISSN 1511-788X http://www.iium.edu.my/ejournal/index.php/iiumej/article/view/373 |
| spellingShingle | TK7885 Computer engineering Haseeb, Shariq Sidek, Khairul Azami Ismail, Ahmad Faris Weng Kin, Lai Yit Mei, Aw AntNet: a robust routing algorithm for data networks |
| title | AntNet: a robust routing algorithm for data networks |
| title_full | AntNet: a robust routing algorithm for data networks |
| title_fullStr | AntNet: a robust routing algorithm for data networks |
| title_full_unstemmed | AntNet: a robust routing algorithm for data networks |
| title_short | AntNet: a robust routing algorithm for data networks |
| title_sort | antnet: a robust routing algorithm for data networks |
| topic | TK7885 Computer engineering |
| url | http://irep.iium.edu.my/32002/ http://irep.iium.edu.my/32002/ http://irep.iium.edu.my/32002/1/373-1577-1-SM.pdf |