Remaining idle time aware intelligent channel bonding schemes for cognitive radio sensor networks

Bukhari, Syed Hashim Raza and Rehmani, Mubashir Husain and Siraj, Sajid (2019) Remaining idle time aware intelligent channel bonding schemes for cognitive radio sensor networks. Wireless Networks, 25 (8). pp. 4523-4539. ISSN 1022-0038

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Abstract

Channel bonding (CB) is a technique used to provide larger bandwidth to users. It has been applied to various networks such as wireless local area networks, wireless sensor networks, cognitive radio networks, and cognitive radio sensor networks (CRSNs). The implementation of CB in CRSNs needs special attention as primary radio (PR) nodes traffic must be protected from any harmful interference by cognitive radio (CR) sensor nodes. On the other hand, CR sensor nodes need to communicate without interruption to meet their data rate requirements and conserve energy. If CR nodes perform frequent channel switching due to PR traffic then it will be difficult to meet their quality of service and data rate requirements. So, CR nodes need to select those channels which are stable. By stable, we mean those channels which having less PR activity or long remaining idle time and cause less harmful interference to PR nodes. In this paper, we propose two approaches remaining idle time aware intelligent channel bonding (RITCB) and remaining idle time aware intelligent channel bonding with interference prevention (RITCB-IP) for cognitive radio sensor networks which select stable channels for CB which have longest remaining idle time. We compare our approaches with four schemes such as primary radio user activity aware channel bonding scheme, sample width algorithm, cognitive radio network over white spaces and AGILE. Simulation results show that our proposed approaches RITCB and RITCB-IP decrease harmful interference and increases the life time of cognitive radio sensor nodes.

Item Type:	Article
Additional Information:	Publisher Copyright: © 2018, Springer Science+Business Media, LLC, part of Springer Nature.
Uncontrolled Keywords:	/dk/atira/pure/subjectarea/asjc/1700/1710
Departments or Groups:
Depositing User:	Admin SSL
Date Deposited:	19 Oct 2022 16:05
Last Modified:	14 Aug 2023 02:15
URI:	http://repository-testing.wit.ie/id/eprint/3561

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