Journal
IEEE COMMUNICATIONS MAGAZINE
Volume 55, Issue 10, Pages 52-60Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/MCOM.2017.1700169
Keywords
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Funding
- National Science Foundation of China [61601181]
- Fundamental Research Funds for the Central Universities [2017MS13]
- Beijing Natural Science Foundation [4174104]
- Beijing Outstanding Young Talent [2016000020124G081]
- Research Council of Norway [240079/F20]
- National Natural Science Foundation of China [61372077]
- Science and Technology Innovation Commission of Shenzhen [ZDSYS 201507031550105]
- Guangdong Provincial Science and Technology Programs [2013B090200011, 2016B090918080]
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The successful realization of smart energy management relies on ubiquitous and reliable information exchange among millions of sensors and actuators deployed in the field with little or no human intervention. This motivates us to propose a unified communication framework for smart energy management by exploring the integration of software-defined networking with machine-to-machine communication. In this article, first we provide a comprehensive review of the state-of-the-art contributions from the perspective of software defined networking and machine-to-machine integration. Second, the overall design of the proposed software-defined machine-to-machine (SD-M2M) framework is presented, with an emphasis on its technical contributions to cost reduction, fine granularity resource allocation, and end-to-end quality of service guarantee. Then a case study is conducted for an electric vehicle energy management system to validate the proposed SD-M2M framework. Finally, we identify several open issues and present key research opportunities.
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