The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
A Survey on Radio Resource Allocation in Cognitive Radio Sensor Networks
Abstract
Wireless sensor networks (WSNs) use the unlicensed industrial, scientific, and medical (ISM) band for transmissions. However, with the increasing usage and demand of these networks, the currently available ISM band does not suffice for their transmissions. This spectrum insufficiency problem has been overcome by incorporating the opportunistic spectrum access capability of cognitive radio (CR) into the existing WSN, thus giving birth to CR sensor networks (CRSNs). The sensor nodes in CRSNs depend on power sources that have limited power supply capabilities. Therefore, advanced and intelligent radio resource allocation schemes are very essential to perform dynamic and efficient spectrum allocation among sensor nodes and to optimize the energy consumption of each individual node in the network. Radio resource allocation schemes aim to ensure QoS guarantee, maximize the network lifetime, reduce the internode and internetwork interferences, etc. In this paper, we present a survey of the recent advances in radio resource allocation in CRSNs. Radio resource allocation schemes in CRSNs are classified into three major categories, i.e., centralized, cluster-based, and distributed. The schemes are further divided into several classes on the basis of performance optimization criteria that include energy efficiency, throughput maximization, QoS assurance, interference avoidance, fairness and priority consideration, and hand-off reduction. An insight into the related issues and challenges is provided, and future research directions are clearly identified.
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Cites
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Liu, J., Shi, Y., Fadlullah, Z. M., & Kato, N. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2841996 · Cited by 1,281
Khan, A. A., Rehmani, M. H., & Reisslein, M. (2016) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2481722 · Cited by 355
Self-citationA survey of advanced techniques for spectrum sharing in 5G networks
Zhang, L., Xiao, M., Wu, G., Alam, M., Liang, Y.-C., & Li, S. (2017) · IEEE Wireless Communications · doi:10.1109/mwc.2017.1700069 · Cited by 321
Full spectrum sharing in cognitive radio networks toward 5G: a survey
Hu, F., Chen, B., & Zhu, K. (2018) · IEEE Access · doi:10.1109/access.2018.2802450 · Cited by 321
Cognitive Radio Techniques Under Practical Imperfections: A Survey
Sharma, S. K., Bogale, T. E., Chatzinotas, S., Ottersten, B., Le, L. B., & Wang, X. (2015) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2452414 · Cited by 221
Metadata
- Authors
- Ahmad, A., Ahmad, S., Rehmani, M. H., & Hassan, N. U.
- Venue
- IEEE Communications Surveys & Tutorials
- Published
- 2015
- Volume
- 17
- Issue
- 2
- Pages
- 888-917
- ISSN
- 1553-877X (ISSN-L)
- 2373-745X
- OpenAlex
- W2084026635
- Cited by
- 277
- References
- 51
- FWCI
- 39.91
- Type
- journal article
- Language
- en
- Open access
- closed
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