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With the high penetration rate of smart mobile devices, it is appealing to exploit device-to-device (D2D) communications for data dissemination, e.g., in disaster alerts and event notifications. The popularity of social networks also offers good opportunities to improve the efficiency of data dissemination. Though there have been some existing works on data dissemination with D2D and mobile social...
We study how to achieve optimal network capacity in the most energy-efficient manner over a general large-scale wireless network, say, a multi-hop multi-radio multi-channel (MR-MC) network. We develop a multi-objective optimization framework for computing the resource allocation that leads to optimal network capacity with minimal energy consumption. Our framework is based on a linear programming multi-commodity...
Heterogeneous parallel systems have become popular in general purpose computing and even high performance computing fields. There are many studies focused on harnessing heterogeneous parallel processing for better performance. However the energy optimization for heterogeneous system has not been well studied. Owing to the differences in performance and energy consumption, the energy optimization technique...
Considering issues regarding energy saving would further complicate the design of Automatic Train Regulation (ATR) for metro. This paper presents a metro traffic model which accounts for energy consumption. Thereby, Dual Heuristic dynamic Programming (DHP) technique is employed to find an optimal ATR design with energy saving. Simulation tests of the ATR design are conducted with field data. Results...
All-year field experiments are carried out in an residential district. Coefficient of performance of units, energy efficiency ratio of system and consumption of units and pumps are obtained respectively. Furthermore, energy-saving effect of system is evaluated in term of energy conversion coefficient and transportation efficiency ratio. Moreover, improvement methods are slso pur forward.
In the past decades, many algorithms with the goal of achieving energy efficiency have been proposed for scheduling real-time tasks. Due to a lack of a unified testing framework, most of them were evaluated via simulations under their own experimental scenarios. However, finding their performance in real processors is essential if these algorithms are to be used in practice. In this paper, we design...
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