A Cluster-Based Cooperative Spectrum Sensing in Cognitive Radio Network Using Eigenvalue Detection Technique with Superposition Approach
Cognitive radio (CR) networks have been active area of research because of its ability to opportunistically share the spectrum. A cluster-based cooperative spectrum sensing (CCSS) has a tremendous impact on sensing reliability compared with cooperative spectrum sensing. The energy detection (ED) tec...
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Wiley
2015-07-01
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Series: | International Journal of Distributed Sensor Networks |
Online Access: | https://doi.org/10.1155/2015/207935 |
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author | Md. Sipon Miah Heejung Yu Tapan Kumar Godder Md. Mahbubur Rahman |
author_facet | Md. Sipon Miah Heejung Yu Tapan Kumar Godder Md. Mahbubur Rahman |
author_sort | Md. Sipon Miah |
collection | DOAJ |
description | Cognitive radio (CR) networks have been active area of research because of its ability to opportunistically share the spectrum. A cluster-based cooperative spectrum sensing (CCSS) has a tremendous impact on sensing reliability compared with cooperative spectrum sensing. The energy detection (ED) technique requires perfect knowledge of noise power. An eigenvalue-based spectrum sensing has mitigated the noise uncertainty problem. Sensing and reporting time slots are rigidly separated in the conventional ED and eigenvalue-based detection (EVD) schemes. In CCSS, more reporting time slots are required as the number of CR users (CRUs) increases. If the reporting time slots of other CRUs as sensing time slots with a superposition allocation, the more reliable channel sensing can be achieved. In this paper, we propose CCSS using EVD technique with a superposition approach scheme where the reporting time slot is properly utilized to sense the primary user's (PU's) signal more accurately by rescheduling the reporting time slot for CRUs and cluster heads (CHs). Simulation result shows that the proposed EVD scheme has better detection probability than the conventional CCSS using both ED and EVD techniques. |
format | Article |
id | doaj-art-a37c1b28f5f04ac5b2363e84907dbe05 |
institution | Kabale University |
issn | 1550-1477 |
language | English |
publishDate | 2015-07-01 |
publisher | Wiley |
record_format | Article |
series | International Journal of Distributed Sensor Networks |
spelling | doaj-art-a37c1b28f5f04ac5b2363e84907dbe052025-02-03T06:45:37ZengWileyInternational Journal of Distributed Sensor Networks1550-14772015-07-011110.1155/2015/207935207935A Cluster-Based Cooperative Spectrum Sensing in Cognitive Radio Network Using Eigenvalue Detection Technique with Superposition ApproachMd. Sipon Miah0Heejung Yu1Tapan Kumar Godder2Md. Mahbubur Rahman3 Department of Information and Communication Engineering, Islamic University, Kushtia 7003, Bangladesh Department of Information and Communication Engineering, Yeungnam University, 280 Daehak-ro, Gyeongsan, Gyeongbuk 712-749, Republic of Korea Department of Information and Communication Engineering, Islamic University, Kushtia 7003, Bangladesh Department of Information and Communication Engineering, Islamic University, Kushtia 7003, BangladeshCognitive radio (CR) networks have been active area of research because of its ability to opportunistically share the spectrum. A cluster-based cooperative spectrum sensing (CCSS) has a tremendous impact on sensing reliability compared with cooperative spectrum sensing. The energy detection (ED) technique requires perfect knowledge of noise power. An eigenvalue-based spectrum sensing has mitigated the noise uncertainty problem. Sensing and reporting time slots are rigidly separated in the conventional ED and eigenvalue-based detection (EVD) schemes. In CCSS, more reporting time slots are required as the number of CR users (CRUs) increases. If the reporting time slots of other CRUs as sensing time slots with a superposition allocation, the more reliable channel sensing can be achieved. In this paper, we propose CCSS using EVD technique with a superposition approach scheme where the reporting time slot is properly utilized to sense the primary user's (PU's) signal more accurately by rescheduling the reporting time slot for CRUs and cluster heads (CHs). Simulation result shows that the proposed EVD scheme has better detection probability than the conventional CCSS using both ED and EVD techniques.https://doi.org/10.1155/2015/207935 |
spellingShingle | Md. Sipon Miah Heejung Yu Tapan Kumar Godder Md. Mahbubur Rahman A Cluster-Based Cooperative Spectrum Sensing in Cognitive Radio Network Using Eigenvalue Detection Technique with Superposition Approach International Journal of Distributed Sensor Networks |
title | A Cluster-Based Cooperative Spectrum Sensing in Cognitive Radio Network Using Eigenvalue Detection Technique with Superposition Approach |
title_full | A Cluster-Based Cooperative Spectrum Sensing in Cognitive Radio Network Using Eigenvalue Detection Technique with Superposition Approach |
title_fullStr | A Cluster-Based Cooperative Spectrum Sensing in Cognitive Radio Network Using Eigenvalue Detection Technique with Superposition Approach |
title_full_unstemmed | A Cluster-Based Cooperative Spectrum Sensing in Cognitive Radio Network Using Eigenvalue Detection Technique with Superposition Approach |
title_short | A Cluster-Based Cooperative Spectrum Sensing in Cognitive Radio Network Using Eigenvalue Detection Technique with Superposition Approach |
title_sort | cluster based cooperative spectrum sensing in cognitive radio network using eigenvalue detection technique with superposition approach |
url | https://doi.org/10.1155/2015/207935 |
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