The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Machine-to-Machine Communications: Architectures, Standards and Applications
Open accessAbstract
As a new business concept, machine-to-machine (M2M) communications are born from original telemetry technology with the intrinsic features of automatic data transmissions and measurement from remote sources typically by cable or radio.M2M includes a number of technologies that need to be combined in a compatible manner to enable its deployment over a broad market of consumer electronics.In order to provide better understanding for this emerging concept, the correlations among M2M, wireless sensor networks, cyber-physical systems (CPS), and internet of things are first analyzed in this paper.Then, the basic M2M architecture is introduced and the key elements of the architecture are presented.Furthermore, the progress of global M2M standardization is reviewed, and some representative applications (i.e., smart home, smart grid and health care) are given to show that the M2M technologies are gradually utilized to benefit people's life.Finally, a novel M2M system integrating intelligent road with unmanned vehicle is proposed in the form of CPS, and an example of cyber-transportation systems for improving road safety and efficiency are introduced.
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Citations
Cites
M2M: From mobile to embedded internet
Wu, G., Talwar, S., Johnsson, K., Himayat, N., & Johnson, K. D. (2011) · IEEE Communications Magazine · doi:10.1109/mcom.2011.5741144 · Cited by 740
A survey of Cyber-Physical Systems
Shi, J., Wan, J., Yan, H., & Suo, H. (2011) · 2011 International Conference on Wireless Communications and Signal Processing (WCSP) · doi:10.1109/wcsp.2011.6096958 · Cited by 608
Toward intelligent machine-to-machine communications in smart grid
Fadlullah, Z. M., Fouda, M. M., Kato, N., Takeuchi, A., Iwasaki, N., & Nozaki, Y. (2011) · IEEE Communications Magazine · doi:10.1109/mcom.2011.5741147 · Cited by 518
Home M2M networks: Architectures, standards, and QoS improvement
Zhang, Y., Yu, R., Xie, S., Yao, W., Xiao, Y., & Guizani, M. (2011) · IEEE Communications Magazine · doi:10.1109/mcom.2011.5741145 · Cited by 431
Machine-to-machine communications for home energy management system in smart grid
Niyato, D., Xiao, L., & Wang, P. (2011) · IEEE Communications Magazine · doi:10.1109/mcom.2011.5741146 · Cited by 382
GRS: The green, reliability, and security of emerging machine to machine communications
Lu, R., Li, X., Liang, X., Shen, X., & Lin, X. (2011) · IEEE Communications Magazine · doi:10.1109/mcom.2011.5741143 · Cited by 253
Advances in Cyber-Physical Systems Research
Wan, J. (2011) · KSII Transactions on Internet and Information Systems · doi:10.3837/tiis.2011.11.001 · Cited by 179
Wan, J., Suo, H., Yan, H., & Liu, J. (2011) · Procedia Engineering · doi:10.1016/j.proeng.2011.11.2613 · Cited by 52
Machine to Machine (M2M) Technology in Demand Responsive Commercial Buildings
Watson, D. S., Piette, M. A., Sezgen, O., & Motegi, N. (2021) · River Publishers eBooks · doi:10.1201/9781003151173-20 · Cited by 41
Cited by
Integration of Cloud computing and Internet of Things: A survey
Botta, A., de Donato, W., Persico, V., & Pescapé, A. (2016) · Future Generation Computer Systems · doi:10.1016/j.future.2015.09.021 · Cited by 2,388
A review of internet of things for smart home: challenges and solutions
Risteska Stojkoska, B. L., & Trivodaliev, K. V. (2017) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2016.10.006 · Cited by 1,397
Industrial IoT, Cyber Threats, and Standards Landscape: Evaluation and Roadmap
Dhirani, L. L., Armstrong, E., & Newe, T. (2021) · Sensors · doi:10.3390/s21113901 · Cited by 172
“[97] mentions challenges associated with cellular M2M and capillary M2M communications using wireless standards.”
Method
Metadata
- Authors
- Chen, M.
- Venue
- KSII Transactions on Internet and Information Systems
- Published
- 2012
- ISSN
- 1976-7277 (ISSN-L)
- OpenAlex
- W1905177991
- Cited by
- 314
- References
- 9
- FWCI
- 21.37
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.
