Secure Cooperative Spectrum Sensing for the Cognitive Radio Network Using Nonuniform Reliability
Both reliable detection of the primary signal in a noisy and fading environment and nullifying the effect of unauthorized users are important tasks in cognitive radio networks. To address these issues, we consider a cooperative spectrum sensing approach where each user is assigned nonuniform reliabi...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
|
| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/101809 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832555504159686656 |
|---|---|
| author | Muhammad Usman Insoo Koo |
| author_facet | Muhammad Usman Insoo Koo |
| author_sort | Muhammad Usman |
| collection | DOAJ |
| description | Both reliable detection of the primary signal in a noisy and fading environment and nullifying the effect of unauthorized users are important tasks in cognitive radio networks. To address these issues, we consider a cooperative spectrum sensing approach where each user is assigned nonuniform reliability based on the sensing performance. Users with poor channel or faulty sensor are assigned low reliability. The nonuniform reliabilities serve as identification tags and are used to isolate users with malicious behavior. We consider a link layer attack similar to the Byzantine attack, which falsifies the spectrum sensing data. Three different strategies are presented in this paper to ignore unreliable and malicious users in the network. Considering only reliable users for global decision improves sensing time and decreases collisions in the control channel. The fusion center uses the degree of reliability as a weighting factor to determine the global decision in scheme I. Schemes II and III consider the unreliability of users, which makes the computations even simpler. The proposed schemes reduce the number of sensing reports and increase the inference accuracy. The advantages of our proposed schemes over conventional cooperative spectrum sensing and the Chair-Varshney optimum rule are demonstrated through simulations. |
| format | Article |
| id | doaj-art-f157323a77f74ef88f3c8a6072287ab4 |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-f157323a77f74ef88f3c8a6072287ab42025-02-03T05:48:03ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/101809101809Secure Cooperative Spectrum Sensing for the Cognitive Radio Network Using Nonuniform ReliabilityMuhammad Usman0Insoo Koo1Department of Electrical, Electronics and Computer Engineering, University of Ulsan, 93 Daehak-ro, Nam-gu, Ulsan 680-749, Republic of KoreaDepartment of Electrical, Electronics and Computer Engineering, University of Ulsan, 93 Daehak-ro, Nam-gu, Ulsan 680-749, Republic of KoreaBoth reliable detection of the primary signal in a noisy and fading environment and nullifying the effect of unauthorized users are important tasks in cognitive radio networks. To address these issues, we consider a cooperative spectrum sensing approach where each user is assigned nonuniform reliability based on the sensing performance. Users with poor channel or faulty sensor are assigned low reliability. The nonuniform reliabilities serve as identification tags and are used to isolate users with malicious behavior. We consider a link layer attack similar to the Byzantine attack, which falsifies the spectrum sensing data. Three different strategies are presented in this paper to ignore unreliable and malicious users in the network. Considering only reliable users for global decision improves sensing time and decreases collisions in the control channel. The fusion center uses the degree of reliability as a weighting factor to determine the global decision in scheme I. Schemes II and III consider the unreliability of users, which makes the computations even simpler. The proposed schemes reduce the number of sensing reports and increase the inference accuracy. The advantages of our proposed schemes over conventional cooperative spectrum sensing and the Chair-Varshney optimum rule are demonstrated through simulations.http://dx.doi.org/10.1155/2014/101809 |
| spellingShingle | Muhammad Usman Insoo Koo Secure Cooperative Spectrum Sensing for the Cognitive Radio Network Using Nonuniform Reliability The Scientific World Journal |
| title | Secure Cooperative Spectrum Sensing for the Cognitive Radio Network Using Nonuniform Reliability |
| title_full | Secure Cooperative Spectrum Sensing for the Cognitive Radio Network Using Nonuniform Reliability |
| title_fullStr | Secure Cooperative Spectrum Sensing for the Cognitive Radio Network Using Nonuniform Reliability |
| title_full_unstemmed | Secure Cooperative Spectrum Sensing for the Cognitive Radio Network Using Nonuniform Reliability |
| title_short | Secure Cooperative Spectrum Sensing for the Cognitive Radio Network Using Nonuniform Reliability |
| title_sort | secure cooperative spectrum sensing for the cognitive radio network using nonuniform reliability |
| url | http://dx.doi.org/10.1155/2014/101809 |
| work_keys_str_mv | AT muhammadusman securecooperativespectrumsensingforthecognitiveradionetworkusingnonuniformreliability AT insookoo securecooperativespectrumsensingforthecognitiveradionetworkusingnonuniformreliability |