Resource allocation in heterogeneous cognitive radio sensor networks
Cognitive radio sensor networks offer a promising means of meeting rapidly expanding demand for wireless sensor network applications in new monitoring and objects tracking fields. Several challenges, particularly in terms of quality of service provisioning, arise because of the inherited capability-...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-07-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147719851944 |
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| _version_ | 1849408253038952448 |
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| author | Mohammed Al-Medhwahi Fazirulhisyam Hashim Borhanuddin Mohd Ali A Sali Abdulsalam Alkholidi |
| author_facet | Mohammed Al-Medhwahi Fazirulhisyam Hashim Borhanuddin Mohd Ali A Sali Abdulsalam Alkholidi |
| author_sort | Mohammed Al-Medhwahi |
| collection | DOAJ |
| description | Cognitive radio sensor networks offer a promising means of meeting rapidly expanding demand for wireless sensor network applications in new monitoring and objects tracking fields. Several challenges, particularly in terms of quality of service provisioning, arise because of the inherited capability-limitation of end-sensor nodes. In this article, an efficient resource allocation scheme, improved Pliable Cognitive Medium Access Protocol, is proposed to tackle multilevel of heterogeneity in cognitive radio sensor networks. The first level is the network’s application heterogeneity, and the second level is the heterogeneity of the radio environment. The proposed scheme addresses scheduling and radio channel allocation issues. Allocation-decision making is centralized, whereas spectrum sensing is distributed, thereby increasing efficiency and limiting interference. Despite the limited capabilities of the sensor’s networks, the effectiveness of the proposed scheme also includes increasing the opportunity to utilize a wider range of the radio spectrum. improved Pliable Cognitive Medium Access protocol is quite appropriate for critical communications that gain attention in the next 5G of wireless networks. Simulation results and the comparison of the proposed protocol with other protocols indicate the robust performance of the proposed scheme. The results reveal the significant effectiveness, with only a slight trade-off in terms of complexity. |
| format | Article |
| id | doaj-art-8299abf309fa4879b24fdfd5a372a6d5 |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2019-07-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-8299abf309fa4879b24fdfd5a372a6d52025-08-20T03:35:50ZengWileyInternational Journal of Distributed Sensor Networks1550-14772019-07-011510.1177/1550147719851944Resource allocation in heterogeneous cognitive radio sensor networksMohammed Al-Medhwahi0Fazirulhisyam Hashim1Borhanuddin Mohd Ali2A Sali3Abdulsalam Alkholidi4Department of Computer and Communication Systems Engineering and Research Centre of Excellence for Wireless and Photonic Networks (WiPNET), Faculty of Engineering, University Putra Malaysia, Seri Kembangan, MalaysiaDepartment of Computer and Communication Systems Engineering and Research Centre of Excellence for Wireless and Photonic Networks (WiPNET), Faculty of Engineering, University Putra Malaysia, Seri Kembangan, MalaysiaDepartment of Computer and Communication Systems Engineering and Research Centre of Excellence for Wireless and Photonic Networks (WiPNET), Faculty of Engineering, University Putra Malaysia, Seri Kembangan, MalaysiaDepartment of Computer and Communication Systems Engineering and Research Centre of Excellence for Wireless and Photonic Networks (WiPNET), Faculty of Engineering, University Putra Malaysia, Seri Kembangan, MalaysiaFaculty of Engineering, Sana’a University, Sana’a, YemenCognitive radio sensor networks offer a promising means of meeting rapidly expanding demand for wireless sensor network applications in new monitoring and objects tracking fields. Several challenges, particularly in terms of quality of service provisioning, arise because of the inherited capability-limitation of end-sensor nodes. In this article, an efficient resource allocation scheme, improved Pliable Cognitive Medium Access Protocol, is proposed to tackle multilevel of heterogeneity in cognitive radio sensor networks. The first level is the network’s application heterogeneity, and the second level is the heterogeneity of the radio environment. The proposed scheme addresses scheduling and radio channel allocation issues. Allocation-decision making is centralized, whereas spectrum sensing is distributed, thereby increasing efficiency and limiting interference. Despite the limited capabilities of the sensor’s networks, the effectiveness of the proposed scheme also includes increasing the opportunity to utilize a wider range of the radio spectrum. improved Pliable Cognitive Medium Access protocol is quite appropriate for critical communications that gain attention in the next 5G of wireless networks. Simulation results and the comparison of the proposed protocol with other protocols indicate the robust performance of the proposed scheme. The results reveal the significant effectiveness, with only a slight trade-off in terms of complexity.https://doi.org/10.1177/1550147719851944 |
| spellingShingle | Mohammed Al-Medhwahi Fazirulhisyam Hashim Borhanuddin Mohd Ali A Sali Abdulsalam Alkholidi Resource allocation in heterogeneous cognitive radio sensor networks International Journal of Distributed Sensor Networks |
| title | Resource allocation in heterogeneous cognitive radio sensor networks |
| title_full | Resource allocation in heterogeneous cognitive radio sensor networks |
| title_fullStr | Resource allocation in heterogeneous cognitive radio sensor networks |
| title_full_unstemmed | Resource allocation in heterogeneous cognitive radio sensor networks |
| title_short | Resource allocation in heterogeneous cognitive radio sensor networks |
| title_sort | resource allocation in heterogeneous cognitive radio sensor networks |
| url | https://doi.org/10.1177/1550147719851944 |
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