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.
Highlights
The Internet of Things (IoT) is endowed with implications regarding physical perception, cyber interaction, social correlation and cognitive thinking for the establishment of a ubiquitous and intelligent cyber-physical-social thinking hyperspace
We focus on supply- and demand-oriented energy management in the IoT context, and the main contributions of the study are as follows
Solar energy prediction is usually achieved based on estimated weighted moving average (EWMA) and weather-conditioned moving average (WCMA) prediction algorithms, whereas solar energy generation can be modeled as a function that is inversely related to the amount of cloud coverage
Summary
The Internet of Things (IoT) is endowed with implications regarding physical perception, cyber interaction, social correlation and cognitive thinking for the establishment of a ubiquitous and intelligent cyber-physical-social thinking hyperspace. (2016) Supply and Demand Oriented Energy Management in the Internet of Things. Energy management is a long-standing issue, and energy management solutions have been designed to achieve long network lifetimes by reducing and balancing the energy consumption in heterogeneous networks. In the context of information and communications technology (ICT), energy management approaches are primarily focused on reducing energy demands through the use of green communication and data centers. Unlike the energy management in traditional networks, IoT energy management faces serious challenges as a result of the IoT features of ubiquitous sensing, networking, and computing. Additional considerations must be addressed for IoT energy management
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