Supply and Demand Oriented Energy Management in the Internet of Things

作     者：Qingjuan Li Hong Liu Huansheng Ning Yang Fu Songde Hu Shunkun Yang Qingjuan Li;Hong Liu;Huansheng Ning;Yang Fu;Songde Hu;Shunkun Yang

作者机构：School of Computer and Communication Engineering University of Science and Technology Beijing Beijing China Engineering Research Institute Run Technologies Co. Ltd. Beijing Beijing China Shenyang Branch Texas Instruments Semiconductor Technologies (Shanghai) Co. Ltd. Shanghai China School of Reliability and Systems Engineering Beihang University Beijing China 

出 版 物：《Advances in Internet of Things》 (物联网（英文）)

年 卷 期：2016年第6卷第1期

页      面：1-17页

学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

主　　题：Internet of Things Internet of Energy Energy Management Smart Home Communication Green Computing 

摘      要：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.