The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Machine-to-machine communications for home energy management system in smart grid
Open accessAbstract
Machine-to-machine (M2M) communications have emerged as a cutting edge technology for next-generation communications, and are undergoing rapid development and inspiring numerous applications. This article presents an investigation of the application of M2M communications in the smart grid. First, an overview of M2M communications is given. The enabling technologies and open research issues of M2M communications are also discussed. Then we address the network design issue of M2M communications for a home energy management system (HEMS) in the smart grid. The network architecture for HEMS to collect status and power consumption demand from home appliances is introduced. Then the optimal HEMS traffic concentration is presented and formulated as the optimal cluster formation. A dynamic programming algorithm is applied to obtain the optimal solution. The numerical results show that the proposed optimal traffic concentration can minimize the cost of HEMS.
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Cites
Probabilistic LMP Forecasting Considering Load Uncertainty
Bo, R., & Li, F. (2009) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2009.2023268 · Cited by 180
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
Stouffer, K. A., Falco, J., Kent, K., Grance, T., & Ross, R. (2006) · Cited by 107
Green perspective cognitive radio-based M2M communications for smart meters
Vo, Q. D., Choi, J.-P., Chang, H. M., et al. (2010) · International Conference on Information and Communication Technology Convergence (ICTC) · doi:10.1109/ictc.2010.5674821 · Cited by 26
Cited by
Review on Control of DC Microgrids
Meng, L., Shafiee, Q., Ferrari Trecate, G., Karimi, H., Fulwani, D., Lu, X., & Guerrero, J. M. (2017) · IEEE Journal of Emerging and Selected Topics in Power Electronics · doi:10.1109/jestpe.2017.2690219 · Cited by 513
Thirty Years of Machine Learning: The Road to Pareto-Optimal Wireless Networks
Wang, J., Jiang, C., Zhang, H., Ren, Y., Chen, K.-C., & Hanzo, L. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.2965856 · Cited by 486
Machine-to-Machine Communications: Architectures, Standards and Applications
Chen, M. (2012) · KSII Transactions on Internet and Information Systems · doi:10.3837/tiis.2012.02.002 · Cited by 314
A literature review of microgrids: A functional layer based classification
Martin-Martínez, F., Sánchez-Miralles, A., & Rivier, M. (2016) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2016.05.025 · Cited by 239
Greening internet of things for greener and smarter cities: a survey and future prospects
Alsamhi, S. H., Ma, O., Ansari, M. S., & Meng, Q. (2019) · Telecommunication Systems · doi:10.1007/s11235-019-00597-1 · Cited by 124
Metadata
- Authors
- Niyato, D., Xiao, L., & Wang, P.
- Venue
- IEEE Communications Magazine
- Published
- 2011-04
- Volume
- 49
- Issue
- 4
- Pages
- 53-59
- ISSN
- 0163-6804 (ISSN-L)
- OpenAlex
- W2168538680
- Cited by
- 382
- References
- 4
- FWCI
- 31.20
- Type
- journal article
- Language
- en
- Open access
- green
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