The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Cognitive machine-to-machine communications: visions and potentials for the smart grid
Open accessAbstract
Based upon cognitive radio technology, we propose a new Machine-to-Machine (M2M) communications paradigm, namely Cognitive M2M (CM2M) communication. We first motivate the use of cognitive radio technology in M2M communications from different point of views, including technical, applications, industry support, and standardization perspectives. Then, our CM2M network architecture and cognitive machine model are presented and the CM2M systems coexistence in TV white spaces is discussed. After that, a CM2M communications architecture for the smart grid is presented, for which we also propose an energy-efficiency driven spectrum discovery scheme. Numerical results demonstrate significant energy saving and the reliability in supporting data transmissions in the smart grid.
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Cites
Cognitive radio: brain-empowered wireless communications
Haykin, S. (2005) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2004.839380 · Cited by 11,916
Farhangi, H. (2010) · IEEE Power and Energy Magazine · doi:10.1109/mpe.2009.934876 · Cited by 2,870
Emerging cognitive radio applications: A survey
Wang, J., Ghosh, M., & Challapali, K. (2011) · IEEE Communications Magazine · doi:10.1109/mcom.2011.5723803 · Cited by 370
The new frontier of communications research
Fan, Z., Kalogridis, G., Efthymiou, C., Sooriyabandara, M., Serizawa, M., & McGeehan, J. P. (2010) · Energy-Efficient Computing and Networking · doi:10.1145/1791314.1791331 · Cited by 111
Maharjan, S., Zhang, Y., Yuen, C., & Gjessing, S. (2011) · IEEE International Conference on Mobile Ad-Hoc and Sensor Systems (MASS) · doi:10.1109/mass.2011.143 · Cited by 21
Self-citation
Cited by
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Agiwal, M., Roy, A., & Saxena, N. (2016) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2016.2532458 · Cited by 3,444
A Comprehensive Survey on Internet of Things (IoT) Toward 5G Wireless Systems
Chettri, L., & Bera, R. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2948888 · Cited by 1,737
Consortium Blockchain for Secure Energy Trading in Industrial Internet of Things
Li, Z., Kang, J., Yu, R., Ye, D., Deng, Q., & Zhang, Y. (2017) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2017.2786307 · Cited by 1,103
Self-citationErol-Kantarci, M., & Mouftah, H. T. (2015) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2014.2341600 · Cited by 444
Khan, A. A., Rehmani, M. H., & Reisslein, M. (2016) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2481722 · Cited by 355
Metadata
- Authors
- Zhang, Y., Yu, R., Nekovee, M., Liu, Y., Xie, S., & Gjessing, S.
- Venue
- IEEE Network
- Published
- 2012-05
- Volume
- 26
- Issue
- 3
- Pages
- 6-13
- ISSN
- 0890-8044 (ISSN-L)
- OpenAlex
- W2104523419
- Cited by
- 386
- References
- 5
- FWCI
- 51.49
- Type
- journal article
- Language
- en
- Open access
- green
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- Zhang, Y., Yu, R., Nekovee, M., Liu, Y., Xie, S., & Gjessing, S. (2012). Cognitive machine-to-machine communications: visions and potentials for the smart grid. IEEE Network. https://doi.org/10.1109/mnet.2012.6201210
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