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: Al-Medhwahi, Mohammed, Hashim, Fazirulhisyam, Mohd Ali, Borhanuddin, Sali, Aduwati, Alkholidi, Abdulsalam G.
Format: Article
Language:English
Published: Sage Publications 2019
Online Access:http://psasir.upm.edu.my/id/eprint/81998/1/Resource%20allocation%20in%20heterogeneous%20cognitive%20radio%20sensor%20networks%20.pdf
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author Al-Medhwahi, Mohammed
Hashim, Fazirulhisyam
Mohd Ali, Borhanuddin
Sali, Aduwati
Alkholidi, Abdulsalam G.
author_facet Al-Medhwahi, Mohammed
Hashim, Fazirulhisyam
Mohd Ali, Borhanuddin
Sali, Aduwati
Alkholidi, Abdulsalam G.
author_sort Al-Medhwahi, Mohammed
collection UPM
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.
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spelling upm.eprints-819982021-08-13T09:34:52Z http://psasir.upm.edu.my/id/eprint/81998/ Resource allocation in heterogeneous cognitive radio sensor networks Al-Medhwahi, Mohammed Hashim, Fazirulhisyam Mohd Ali, Borhanuddin Sali, Aduwati Alkholidi, Abdulsalam G. 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. Sage Publications 2019 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/81998/1/Resource%20allocation%20in%20heterogeneous%20cognitive%20radio%20sensor%20networks%20.pdf Al-Medhwahi, Mohammed and Hashim, Fazirulhisyam and Mohd Ali, Borhanuddin and Sali, Aduwati and Alkholidi, Abdulsalam G. (2019) Resource allocation in heterogeneous cognitive radio sensor networks. International Journal of Distributed Sensor Networks, 15 (7). pp. 1-11. ISSN 1550-1329; ESSN: 1550-1477 https://journals.sagepub.com/doi/full/10.1177/1550147719851944 10.1177/1550147719851944
spellingShingle Al-Medhwahi, Mohammed
Hashim, Fazirulhisyam
Mohd Ali, Borhanuddin
Sali, Aduwati
Alkholidi, Abdulsalam G.
Resource allocation in heterogeneous cognitive radio 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 http://psasir.upm.edu.my/id/eprint/81998/1/Resource%20allocation%20in%20heterogeneous%20cognitive%20radio%20sensor%20networks%20.pdf
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