A weighted hard combination scheme for cooperative spectrum sensing in cognitive radio sensor networks
Multi-user spatial sensing diversity exploration through cooperation spectrum sensing greatly improves sensing performance. However, high communication overhead and energy costs for exchanging sensing results may limit its viability in a realistic large scale resource constraint network such as cogn...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2015
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| Online Access: | http://psasir.upm.edu.my/id/eprint/58411/ http://psasir.upm.edu.my/id/eprint/58411/1/A%20weighted%20hard%20combination%20scheme%20for%20cooperative%20spectrum%20sensing%20in%20cognitive%20radio%20sensor%20networks.pdf |
| _version_ | 1848853639411531776 |
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| author | Mustapha, Ibrahim Mohd Ali, Borhanuddin A. Rasid, Mohd Fadlee Sali, Aduwati Mohamad, Hafizal |
| author_facet | Mustapha, Ibrahim Mohd Ali, Borhanuddin A. Rasid, Mohd Fadlee Sali, Aduwati Mohamad, Hafizal |
| author_sort | Mustapha, Ibrahim |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Multi-user spatial sensing diversity exploration through cooperation spectrum sensing greatly improves sensing performance. However, high communication overhead and energy costs for exchanging sensing results may limit its viability in a realistic large scale resource constraint network such as cognitive radio wireless sensor networks. This paper presents a Weighted Hard Combination (WHC) scheme that combines features of both quantized and hard combining schemes to minimize energy cost for reporting sensing result and improve primary user detection performance in cooperative sensing. We evaluate the effectiveness of the scheme through simulation. Performance comparison of the WHC scheme in terms of detection performance, reporting energy cost and reporting time ratio with conventional hard combination, soft combination and quantized schemes indicates viability of the scheme. The results indicate that the WHC scheme minimizes reporting energy cost by 70% and improves detection performance by 5.6% compared to the quantized 3-bits scheme. |
| first_indexed | 2025-11-15T10:57:10Z |
| format | Conference or Workshop Item |
| id | upm-58411 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:57:10Z |
| publishDate | 2015 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-584112018-01-16T04:35:30Z http://psasir.upm.edu.my/id/eprint/58411/ A weighted hard combination scheme for cooperative spectrum sensing in cognitive radio sensor networks Mustapha, Ibrahim Mohd Ali, Borhanuddin A. Rasid, Mohd Fadlee Sali, Aduwati Mohamad, Hafizal Multi-user spatial sensing diversity exploration through cooperation spectrum sensing greatly improves sensing performance. However, high communication overhead and energy costs for exchanging sensing results may limit its viability in a realistic large scale resource constraint network such as cognitive radio wireless sensor networks. This paper presents a Weighted Hard Combination (WHC) scheme that combines features of both quantized and hard combining schemes to minimize energy cost for reporting sensing result and improve primary user detection performance in cooperative sensing. We evaluate the effectiveness of the scheme through simulation. Performance comparison of the WHC scheme in terms of detection performance, reporting energy cost and reporting time ratio with conventional hard combination, soft combination and quantized schemes indicates viability of the scheme. The results indicate that the WHC scheme minimizes reporting energy cost by 70% and improves detection performance by 5.6% compared to the quantized 3-bits scheme. IEEE 2015 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/58411/1/A%20weighted%20hard%20combination%20scheme%20for%20cooperative%20spectrum%20sensing%20in%20cognitive%20radio%20sensor%20networks.pdf Mustapha, Ibrahim and Mohd Ali, Borhanuddin and A. Rasid, Mohd Fadlee and Sali, Aduwati and Mohamad, Hafizal (2015) A weighted hard combination scheme for cooperative spectrum sensing in cognitive radio sensor networks. In: 2015 IEEE 12th Malaysia International Conference on Communications (MICC 2015), 23-25 Nov. 2015, Kuching, Sarawak, Malaysia. (pp. 12-17). 10.1109/MICC.2015.7725399 |
| spellingShingle | Mustapha, Ibrahim Mohd Ali, Borhanuddin A. Rasid, Mohd Fadlee Sali, Aduwati Mohamad, Hafizal A weighted hard combination scheme for cooperative spectrum sensing in cognitive radio sensor networks |
| title | A weighted hard combination scheme for cooperative spectrum sensing in cognitive radio sensor networks |
| title_full | A weighted hard combination scheme for cooperative spectrum sensing in cognitive radio sensor networks |
| title_fullStr | A weighted hard combination scheme for cooperative spectrum sensing in cognitive radio sensor networks |
| title_full_unstemmed | A weighted hard combination scheme for cooperative spectrum sensing in cognitive radio sensor networks |
| title_short | A weighted hard combination scheme for cooperative spectrum sensing in cognitive radio sensor networks |
| title_sort | weighted hard combination scheme for cooperative spectrum sensing in cognitive radio sensor networks |
| url | http://psasir.upm.edu.my/id/eprint/58411/ http://psasir.upm.edu.my/id/eprint/58411/ http://psasir.upm.edu.my/id/eprint/58411/1/A%20weighted%20hard%20combination%20scheme%20for%20cooperative%20spectrum%20sensing%20in%20cognitive%20radio%20sensor%20networks.pdf |