Supply and Demand Oriented Energy Management in the Internet of Things
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 |