Genetic fuzzy scheduler for spectrum sensing in cognitive radio networks
Spectrum sensing is a critical issue in any cognitive radio (CR) system. Many factors can affect the overall system performance and one of them is the order of sensing attempts of multiple channels. As the number of channels under consideration increases, the complexity of scheduling problem increas...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2012
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| Online Access: | http://psasir.upm.edu.my/id/eprint/27293/ http://psasir.upm.edu.my/id/eprint/27293/1/ID%2027293.pdf |
| _version_ | 1848845805995163648 |
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| author | Mohamedou, Ahmed Sali, Aduwati Mohd Ali, Borhanuddin |
| author_facet | Mohamedou, Ahmed Sali, Aduwati Mohd Ali, Borhanuddin |
| author_sort | Mohamedou, Ahmed |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Spectrum sensing is a critical issue in any cognitive radio (CR) system. Many factors can affect the overall system performance and one of them is the order of sensing attempts of multiple channels. As the number of channels under consideration increases, the complexity of scheduling problem increases as well. In addition, the problem is elevated if channels have different behaviors and characteristics which is normally the common case. This paper proposes two scheduling techniques for spectrum sensing operations in cognitive-based IEEE 802.11 system. The first technique adopts Fuzzy Inference System (FIS) approach to set the optimal order of sensing attempts. However, FIS scheduler is static and cannot adapt to the changing behavior of wireless environment. Therefore, Genetic Algorithm (GA) is used to give the proposed FIS scheduler the ability to evolve and adapt to new environment conditions. The second technique proposed by this paper is heuristic-based scheduling algorithm. This algorithm is used as supporting mechanism for the genetic FIS scheduler. Several simulation experiments were conducted. They showed the outperformance of the proposed solution by achieving 300 Mbps increase in goodput. |
| first_indexed | 2025-11-15T08:52:40Z |
| format | Conference or Workshop Item |
| id | upm-27293 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T08:52:40Z |
| publishDate | 2012 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-272932016-06-02T03:02:31Z http://psasir.upm.edu.my/id/eprint/27293/ Genetic fuzzy scheduler for spectrum sensing in cognitive radio networks Mohamedou, Ahmed Sali, Aduwati Mohd Ali, Borhanuddin Spectrum sensing is a critical issue in any cognitive radio (CR) system. Many factors can affect the overall system performance and one of them is the order of sensing attempts of multiple channels. As the number of channels under consideration increases, the complexity of scheduling problem increases as well. In addition, the problem is elevated if channels have different behaviors and characteristics which is normally the common case. This paper proposes two scheduling techniques for spectrum sensing operations in cognitive-based IEEE 802.11 system. The first technique adopts Fuzzy Inference System (FIS) approach to set the optimal order of sensing attempts. However, FIS scheduler is static and cannot adapt to the changing behavior of wireless environment. Therefore, Genetic Algorithm (GA) is used to give the proposed FIS scheduler the ability to evolve and adapt to new environment conditions. The second technique proposed by this paper is heuristic-based scheduling algorithm. This algorithm is used as supporting mechanism for the genetic FIS scheduler. Several simulation experiments were conducted. They showed the outperformance of the proposed solution by achieving 300 Mbps increase in goodput. IEEE 2012 Conference or Workshop Item NonPeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/27293/1/ID%2027293.pdf Mohamedou, Ahmed and Sali, Aduwati and Mohd Ali, Borhanuddin (2012) Genetic fuzzy scheduler for spectrum sensing in cognitive radio networks. In: 12th Symposium on Communications and Information Technologies (ISCIT 2012), 2-5 Oct. 2012, Gold Coast, Australia. (pp. 770-775). 10.1109/ISCIT.2012.6381006 |
| spellingShingle | Mohamedou, Ahmed Sali, Aduwati Mohd Ali, Borhanuddin Genetic fuzzy scheduler for spectrum sensing in cognitive radio networks |
| title | Genetic fuzzy scheduler for spectrum sensing in cognitive radio networks |
| title_full | Genetic fuzzy scheduler for spectrum sensing in cognitive radio networks |
| title_fullStr | Genetic fuzzy scheduler for spectrum sensing in cognitive radio networks |
| title_full_unstemmed | Genetic fuzzy scheduler for spectrum sensing in cognitive radio networks |
| title_short | Genetic fuzzy scheduler for spectrum sensing in cognitive radio networks |
| title_sort | genetic fuzzy scheduler for spectrum sensing in cognitive radio networks |
| url | http://psasir.upm.edu.my/id/eprint/27293/ http://psasir.upm.edu.my/id/eprint/27293/ http://psasir.upm.edu.my/id/eprint/27293/1/ID%2027293.pdf |