Today’s sensing applications require low energy consumption while managing various types of tasks, ranging from processing and communication, to actuation and sensing. In this paper we develop a method to trade off energy availability, from both energy harvesting and storage, with the energy costs of the tasks the sensor node needs to accomplish. Our strategy consists of three main parts: a sol...

abstractthe reform of energy subsidies has affected economic growth, as a result of household and firms’ behavior. however, despite the energy consumption and economic growth decrease in the short run, it is expected that economic growth will increase as a result of an adjustment in economic agents’ behavior over the mid- and long-terms. as is appropriate with these changes, energy consumption ...

This paper investigates power management algorithms that optimally manage lithium-ion battery pack health, in terms of anode-side film growth, for plug-in hybrid electric vehicles (PHEVs). Specifically, we integrate a reduced electrochemical model of solid electrolyte interface (SEI) film formation into a stochastic dynamic programming formulation of the PHEV power management problem. This make...

Supply voltage reduction leads to quadratic savings on power/energy consumption at the cost of longer execution delays. These days, this fact is largely used to convert the task idle time into power/energy gain on general-purpose and embedded processors. However, such voltage management requires often the use of extra software layers and intelligent algorithms and therefore an additional overhe...

This early stage interdisciplinary research contributes to smart grid advancements by integrating information and communications technology and electric power systems. It aims at tackling the drawbacks of current demand-side energy management schemes by developing an agent-based energy management system that coordinates and optimizes neighbourhood-level aggregate power load. In this paper, we r...

In pursuance of attaining energy saving with productivity and provide good quality of service for users, the design of a logical energy examining and management system using the Microsoft neural network and computationally non tolling formula is projected in this paper. By examining the potential data consumption, nearby data and users’ scenario data, the system assist the design and it will me...

In line with the goals of Europe 2020 strategy, energy resource saving represent a key issue for smart, sustainable and inclusive growth. Recent developments in ICTs offer home devices featuring local intelligence and connectivity services. So, basing on such technologies, a house becomes Collaborative Smart Environment (CSE), a place where multimedia services are provided to users, while heter...