The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Cognitive Radio Wireless Sensor Networks: Applications, Challenges and Research Trends
Open accessAbstract
A cognitive radio wireless sensor network is one of the candidate areas where cognitive techniques can be used for opportunistic spectrum access. Research in this area is still in its infancy, but it is progressing rapidly. The aim of this study is to classify the existing literature of this fast emerging application area of cognitive radio wireless sensor networks, highlight the key research that has already been undertaken, and indicate open problems. This paper describes the advantages of cognitive radio wireless sensor networks, the difference between ad hoc cognitive radio networks, wireless sensor networks, and cognitive radio wireless sensor networks, potential application areas of cognitive radio wireless sensor networks, challenges and research trend in cognitive radio wireless sensor networks. The sensing schemes suited for cognitive radio wireless sensor networks scenarios are discussed with an emphasis on cooperation and spectrum access methods that ensure the availability of the required QoS. Finally, this paper lists several open research challenges aimed at drawing the attention of the readers toward the important issues that need to be addressed before the vision of completely autonomous cognitive radio wireless sensor networks can be realized.
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Cites
A survey of spectrum sensing algorithms for cognitive radio applications
Yucek, T., & Arslan, H. (2009) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2009.090109 · Cited by 4,801
A survey on wireless multimedia sensor networks
Akyildiz, I. F., Melodia, T., & Chowdhury, K. R. (2007) · Computer Networks · doi:10.1016/j.comnet.2006.10.002 · Cited by 2,308
Energy Harvesting Sensor Nodes: Survey and Implications
Sudevalayam, S., & Kulkarni, P. (2011) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2011.060710.00094 · Cited by 1,981
A survey on spectrum management in cognitive radio networks
Akyildiz, I. F., Lee, W.-Y., Vuran, M. C., & Mohanty, S. (2008) · IEEE Communications Magazine · doi:10.1109/mcom.2008.4481339 · Cited by 1,690
Advances in cognitive radio networks: A survey
Wang, B., & Liu, K. J. R. (2011) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2010.2093210 · Cited by 1,404
Cooperative Communications for Cognitive Radio Networks
Ben Letaief, K., & Zhang, W. (2009) · Proceedings of the IEEE · doi:10.1109/jproc.2009.2015716 · Cited by 1,153
A survey on wireless body area networks
Latré, B., Braem, B., Moerman, I., Blondia, C., & Demeester, P. (2011) · Wireless Networks · doi:10.1007/s11276-010-0252-4 · Cited by 1,099
Cognitive radio sensor networks
Akan, O., Karli, O., & Ergul, O. (2009) · IEEE Network · doi:10.1109/mnet.2009.5191144 · Cited by 602
A Survey on Machine-Learning Techniques in Cognitive Radios
Bkassiny, M., Li, Y., & Jayaweera, S. K. (2013) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2012.100412.00017 · Cited by 580
Wireless sensor networks powered by ambient energy harvesting (WSN-HEAP) - Survey and challenges
Seah, W. K. G., Eu, Z. A., & Tan, H.-P. (2009) · 2009 1st International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace & Electronic Systems Technology · doi:10.1109/wirelessvitae.2009.5172411 · Cited by 443
Cited by
Ultra Low Power Wake-Up Radios: A Hardware and Networking Survey
Piyare, R., Murphy, A. L., Kiraly, C., Tosato, P., & Brunelli, D. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2728092 · Cited by 287
Survey on the Characterization and Classification of Wireless Sensor Network Applications
Borges, L. M., Velez, F. J., & Lebres, A. S. (2014) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2014.2320073 · Cited by 274
Faheem, M., & Gungor, V. C. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2017.10.009 · Cited by 70
Metadata
- Authors
- Joshi, G., Nam, S., & Kim, S.
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2013-08-22
- Volume
- 13
- Issue
- 9
- Pages
- 11196-11228
- ISSN
- 1424-8220 (ISSN-L)
- OpenAlex
- W2058210522
- Cited by
- 273
- References
- 32
- FWCI
- 31.72
- Type
- journal article
- Language
- en
- Open access
- gold
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
