QoS based fair load-balancing: paradigm to IANRA routing algorithm for wireless networks (WNs)
In this paper, a new algorithm, Intelligent agent AntNet based Routing Algorithm (IANRA) is proposed to enhance load balancing strategy in Wireless Networks (WNs). IANRA is based on Ants behaviour with some important factors such as: the specific self-organizing behaviour of ant colonies, the shorte...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2008
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| Online Access: | http://psasir.upm.edu.my/id/eprint/48213/ http://psasir.upm.edu.my/id/eprint/48213/1/QoS%20based%20fair%20load-balancing%20paradigm%20to%20IANRA%20routing%20algorithm%20for%20wireless%20networks%20%28WNs%29.pdf |
| _version_ | 1848851020839387136 |
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| author | Moghanjoughi, Ayyoub Akbari Khatun, Sabira Mohd Ali, Borhanuddin Raja Abdullah, Raja Syamsul Azmir |
| author_facet | Moghanjoughi, Ayyoub Akbari Khatun, Sabira Mohd Ali, Borhanuddin Raja Abdullah, Raja Syamsul Azmir |
| author_sort | Moghanjoughi, Ayyoub Akbari |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | In this paper, a new algorithm, Intelligent agent AntNet based Routing Algorithm (IANRA) is proposed to enhance load balancing strategy in Wireless Networks (WNs). IANRA is based on Ants behaviour with some important factors such as: the specific self-organizing behaviour of ant colonies, the shortest path discovery and the related framework of Ant Colony Optimization (ACO). The main focus in IANRA is to find optimum and near optimum route by means of Genetic Algorithm (GA) using breeding capability of ants. Here, ants can produce a number of generations with the target to discover an optimized route. Hence IANRA is able to prevent of the difficulties which exist in existing routing algorithms, such as Ad hoc On-Demand Distance Vector (AODV), AntNet etc. The obtained results show that the efficiency of IANRA algorithm is better than AODV and AntNet or any other related algorithm. In addition, the proposed algorithm (IANRA) is able to reduce the end-to-end delay and increase the packet delivery ratio significantly. |
| first_indexed | 2025-11-15T10:15:33Z |
| format | Conference or Workshop Item |
| id | upm-48213 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:15:33Z |
| publishDate | 2008 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-482132019-05-27T00:54:53Z http://psasir.upm.edu.my/id/eprint/48213/ QoS based fair load-balancing: paradigm to IANRA routing algorithm for wireless networks (WNs) Moghanjoughi, Ayyoub Akbari Khatun, Sabira Mohd Ali, Borhanuddin Raja Abdullah, Raja Syamsul Azmir In this paper, a new algorithm, Intelligent agent AntNet based Routing Algorithm (IANRA) is proposed to enhance load balancing strategy in Wireless Networks (WNs). IANRA is based on Ants behaviour with some important factors such as: the specific self-organizing behaviour of ant colonies, the shortest path discovery and the related framework of Ant Colony Optimization (ACO). The main focus in IANRA is to find optimum and near optimum route by means of Genetic Algorithm (GA) using breeding capability of ants. Here, ants can produce a number of generations with the target to discover an optimized route. Hence IANRA is able to prevent of the difficulties which exist in existing routing algorithms, such as Ad hoc On-Demand Distance Vector (AODV), AntNet etc. The obtained results show that the efficiency of IANRA algorithm is better than AODV and AntNet or any other related algorithm. In addition, the proposed algorithm (IANRA) is able to reduce the end-to-end delay and increase the packet delivery ratio significantly. IEEE 2008 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/48213/1/QoS%20based%20fair%20load-balancing%20paradigm%20to%20IANRA%20routing%20algorithm%20for%20wireless%20networks%20%28WNs%29.pdf Moghanjoughi, Ayyoub Akbari and Khatun, Sabira and Mohd Ali, Borhanuddin and Raja Abdullah, Raja Syamsul Azmir (2008) QoS based fair load-balancing: paradigm to IANRA routing algorithm for wireless networks (WNs). In: 11th International Conference on Computer and Information Technology (ICCIT 2008), 24-27 Dec. 2008, Khulna, Bangladesh. (pp. 104-109). 10.1109/ICCITECHN.2008.4803001 |
| spellingShingle | Moghanjoughi, Ayyoub Akbari Khatun, Sabira Mohd Ali, Borhanuddin Raja Abdullah, Raja Syamsul Azmir QoS based fair load-balancing: paradigm to IANRA routing algorithm for wireless networks (WNs) |
| title | QoS based fair load-balancing: paradigm to IANRA routing algorithm for wireless networks (WNs) |
| title_full | QoS based fair load-balancing: paradigm to IANRA routing algorithm for wireless networks (WNs) |
| title_fullStr | QoS based fair load-balancing: paradigm to IANRA routing algorithm for wireless networks (WNs) |
| title_full_unstemmed | QoS based fair load-balancing: paradigm to IANRA routing algorithm for wireless networks (WNs) |
| title_short | QoS based fair load-balancing: paradigm to IANRA routing algorithm for wireless networks (WNs) |
| title_sort | qos based fair load-balancing: paradigm to ianra routing algorithm for wireless networks (wns) |
| url | http://psasir.upm.edu.my/id/eprint/48213/ http://psasir.upm.edu.my/id/eprint/48213/ http://psasir.upm.edu.my/id/eprint/48213/1/QoS%20based%20fair%20load-balancing%20paradigm%20to%20IANRA%20routing%20algorithm%20for%20wireless%20networks%20%28WNs%29.pdf |