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    Supply and Demand Oriented Energy Management in the Internet of Things

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    Date
    2016-01
    Author
    Li, Qingjuan
    Liu, Hong
    Ning, Huansheng
    Fu, Yang
    Hu, Songde
    Yang, Shunkun
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    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.
    URI
    http://dx.doi.org/10.4236/ait.2016.61001
    http://hdl.handle.net/123456789/827
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