Bukhari, SHR, Siraj, S orcid.org/0000-0002-7962-9930 and Rehmani, MH (2016) PRACB: A Novel Channel Bonding Algorithm for Cognitive Radio Sensor Networks. IEEE Access, 4. ISSN 2169-3536
Abstract
Wireless sensor networks (WSNs) can utilize the unlicensed industrial, scientific and medical (ISM) band to communicate the sensed data. The ISM band has been already saturated due to overlaid deployment of WSNs. To solve this problem, WSNs have been powered up by cognitive radio (CR) capability. By using CR technique, WSNs can utilize the spectrum holes opportunistically. Channel bonding (CB) is a technique through which multiple contiguous channels can be combined to form a single wide band channel. By using channel bonding (CB) technique, CR based WSN nodes attempt to find and combine contiguous channels to avail larger bandwidth. In this paper, we show that probability of finding contiguous channels decreases with the increase in number of channels. Moreover, we propose two algorithms of primary radio (PR) activity based channel bonding schemes and compare with sample width algorithm (SWA). The simulation results show that our algorithm significantly avoids PR-CR harmful interference and CB in cognitive radio sensor networks (CRSNs) provides greater bandwidth to CR nodes.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission. |
Keywords: | Wireless sensor networks; Channel bonding; cognitive radio; dynamic spectrum access |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Business (Leeds) > Management Division (LUBS) (Leeds) > Management Division Decision Research (LUBS) |
Depositing User: | Symplectic Publications |
Date Deposited: | 14 Oct 2016 14:31 |
Last Modified: | 20 Jan 2018 04:40 |
Published Version: | http://doi.org/10.1109/ACCESS.2016.2618418 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers |
Identification Number: | 10.1109/ACCESS.2016.2618418 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:106004 |