Cognitive radio based optimal sensing for resource allocation in smart cities/villages
Cognitive radio is the cutting edge wireless technology that is used to solve the spectrum saturation problem. In cognitive radio, secondary users use primary user’s spectrum (licensed band) during primary user’s absence. Cognitive radio provides more flexibility in terms of spectrum utilization but...
| Main Authors: | , , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
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2017
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| Online Access: | http://umpir.ump.edu.my/id/eprint/19498/1/Cognitive%20Radio%20Based%20Optimal%20Sensing%20For%20Resource%20Allocation%20In%20Smart%20Cities-Villages.pdf http://umpir.ump.edu.my/id/eprint/19498/2/Cognitive%20Radio%20Based%20Optimal%20Sensing%20For%20Resource%20Allocation%20In%20Smart%20Cities-Villages%201.pdf |
| _version_ | 1825811808020070400 |
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| author | M. N., Morshed Sabira, Khatun V., Vijayasarveswari Fakir, Md Moslemuddin M. Z., Ibrahim Kamarul Hawari, Ghazali Mohd Hisyam, Mohd Ariff |
| author_facet | M. N., Morshed Sabira, Khatun V., Vijayasarveswari Fakir, Md Moslemuddin M. Z., Ibrahim Kamarul Hawari, Ghazali Mohd Hisyam, Mohd Ariff |
| author_sort | M. N., Morshed |
| collection | UMP |
| description | Cognitive radio is the cutting edge wireless technology that is used to solve the spectrum saturation problem. In cognitive radio, secondary users use primary user’s spectrum (licensed band) during primary user’s absence. Cognitive radio provides more flexibility in terms of spectrum utilization but the spectrum sensing efficiency need to be improved to make sure that the primary users are not interrupted while they are active. This paper presents the test-bed development of a cognitive radio network using Android based smart phone for optimal sensing and data transmission. An energy detector based sensing method is proposed and used here since the energy detector does not require the information of the primary user. The cognitive radio features has been implemented in Android phone by using the Eclipse Java programming. The testbed experimental set up was done Android based smart phone. Two spectrums, WIFI and Bluetooth were used to verify the sensing and detection efficiency. Results show that the proposed sensing and detection scheme efficiently is about 83%. |
| first_indexed | 2024-03-06T12:19:48Z |
| format | Conference or Workshop Item |
| id | UMPir19498 |
| institution | Universiti Malaysia Pahang |
| language | English English |
| last_indexed | 2024-03-06T12:19:48Z |
| publishDate | 2017 |
| record_format | dspace |
| spelling | UMPir194982018-07-16T08:28:23Z http://umpir.ump.edu.my/id/eprint/19498/ Cognitive radio based optimal sensing for resource allocation in smart cities/villages M. N., Morshed Sabira, Khatun V., Vijayasarveswari Fakir, Md Moslemuddin M. Z., Ibrahim Kamarul Hawari, Ghazali Mohd Hisyam, Mohd Ariff TK Electrical engineering. Electronics Nuclear engineering TP Chemical technology Cognitive radio is the cutting edge wireless technology that is used to solve the spectrum saturation problem. In cognitive radio, secondary users use primary user’s spectrum (licensed band) during primary user’s absence. Cognitive radio provides more flexibility in terms of spectrum utilization but the spectrum sensing efficiency need to be improved to make sure that the primary users are not interrupted while they are active. This paper presents the test-bed development of a cognitive radio network using Android based smart phone for optimal sensing and data transmission. An energy detector based sensing method is proposed and used here since the energy detector does not require the information of the primary user. The cognitive radio features has been implemented in Android phone by using the Eclipse Java programming. The testbed experimental set up was done Android based smart phone. Two spectrums, WIFI and Bluetooth were used to verify the sensing and detection efficiency. Results show that the proposed sensing and detection scheme efficiently is about 83%. 2017 Conference or Workshop Item NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/19498/1/Cognitive%20Radio%20Based%20Optimal%20Sensing%20For%20Resource%20Allocation%20In%20Smart%20Cities-Villages.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/19498/2/Cognitive%20Radio%20Based%20Optimal%20Sensing%20For%20Resource%20Allocation%20In%20Smart%20Cities-Villages%201.pdf M. N., Morshed and Sabira, Khatun and V., Vijayasarveswari and Fakir, Md Moslemuddin and M. Z., Ibrahim and Kamarul Hawari, Ghazali and Mohd Hisyam, Mohd Ariff (2017) Cognitive radio based optimal sensing for resource allocation in smart cities/villages. In: 4th International Conference On Electrical, Control & Computer Engineering , 16-17 October 2017 , Hotel Adya, Langkawi. pp. 1-5.. (Unpublished) (Unpublished) |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering TP Chemical technology M. N., Morshed Sabira, Khatun V., Vijayasarveswari Fakir, Md Moslemuddin M. Z., Ibrahim Kamarul Hawari, Ghazali Mohd Hisyam, Mohd Ariff Cognitive radio based optimal sensing for resource allocation in smart cities/villages |
| title | Cognitive radio based optimal sensing for resource allocation in smart cities/villages |
| title_full | Cognitive radio based optimal sensing for resource allocation in smart cities/villages |
| title_fullStr | Cognitive radio based optimal sensing for resource allocation in smart cities/villages |
| title_full_unstemmed | Cognitive radio based optimal sensing for resource allocation in smart cities/villages |
| title_short | Cognitive radio based optimal sensing for resource allocation in smart cities/villages |
| title_sort | cognitive radio based optimal sensing for resource allocation in smart cities villages |
| topic | TK Electrical engineering. Electronics Nuclear engineering TP Chemical technology |
| url | http://umpir.ump.edu.my/id/eprint/19498/1/Cognitive%20Radio%20Based%20Optimal%20Sensing%20For%20Resource%20Allocation%20In%20Smart%20Cities-Villages.pdf http://umpir.ump.edu.my/id/eprint/19498/2/Cognitive%20Radio%20Based%20Optimal%20Sensing%20For%20Resource%20Allocation%20In%20Smart%20Cities-Villages%201.pdf |
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