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Supply and Demand Oriented Energy Management in the Internet of Things

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dc.contributor.author Li, Qingjuan
dc.contributor.author Liu, Hong
dc.contributor.author Ning, Huansheng
dc.contributor.author Fu, Yang
dc.contributor.author Hu, Songde
dc.contributor.author Yang, Shunkun
dc.date.accessioned 2016-06-20T06:31:48Z
dc.date.available 2016-06-20T06:31:48Z
dc.date.issued 2016-01
dc.identifier.citation Advances in Internet of Things, 2016, 6, 1-17 en_US
dc.identifier.uri http://dx.doi.org/10.4236/ait.2016.61001
dc.identifier.uri http://hdl.handle.net/123456789/827
dc.description.abstract The Internet of Things (IoT) is emerging as an attractive paradigm involving physical perceptions, cyber interactions, social correlations and even cognitive thinking through a cyber-physical-social-thinking hyperspace. In this context, energy management with the purposes of energy saving and high efficiency is a challenging issue. In this work, a taxonomy model is established in reference to the IoT layers (i.e., sensor-actuator layer, network layer, and application layer), and IoT energy management is addressed from the perspectives of supply and demand to achieve green perception, communication, and computing. A smart home scenario is presented as a case study involving the main enabling technologies with supply-side, demand-side, and supply-demand balance considerations, and open issues in the field of IoT energy management are also discussed. en_US
dc.language.iso en en_US
dc.publisher Scientific Research Publishing en_US
dc.subject Internet of Things en_US
dc.subject Internet of Energy en_US
dc.subject Energy Management en_US
dc.subject Smart Home en_US
dc.subject Communication en_US
dc.subject Green Computing en_US
dc.title Supply and Demand Oriented Energy Management in the Internet of Things en_US
dc.type Article en_US


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