Big data applications have become increasingly popular with the appearance of cloud
computing and green computing. Therefore, internet service providers (ISPs) need to build …

Recent technological advances have greatly improved the performance and features of
embedded systems. With the number of just mobile devices now reaching nearly equal to …

Achieving long battery lives or even self sustainability has been a long standing challenge
for designing mobile devices. This paper presents a novel solution that seamlessly …

Cyber-physical systems (CPSs) are the next generation of engineered systems in which
computing, communication, and control technologies are tightly integrated. Research on …

Neural networks have become the dominant algorithms rapidly as they achieve state-of-the-
art performance in a broad range of applications such as image recognition, speech …

Wireless power transfer (WPT) is an emerging paradigm that will enable using wireless to its
full potential in future networks, not only to convey information but also to deliver energy …

Reducing the energy footprint of warehouse-scale computer (WSC) systems is key to their
affordability, yet difficult to achieve in practice. The lack of energy proportionality of typical …

Abstract Energy management in Wireless Sensor Networks (WSNs) is of paramount
importance for the remotely deployed energy stringent sensor nodes. These nodes are …

Many modern computations (such as video and audio encoders, Monte Carlo simulations,
and machine learning algorithms) are designed to trade off accuracy in return for increased …

Reducing energy consumption is a vital and challenging problem for the edge computing
devices since they are always energy-limited. To tackle this problem, a deep Q-learning …