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Recently, the railway sector is required to improve energy efficiency. Since no additional hardware investment is required, the authors are focused on the optimisation of the train timetable for less energy consumption. Train timetable contains the slack time for each interstation for robustness against delay. Although energy consumption can be reduced by the slack time, the slack time distribution...
Currently, a large number of cloud computing servers waste a tremendous amount of energy and emit a considerable amount of carbon dioxide. Thus, it is necessary to significantly reduce pollution and substantially lower energy usage. This paper seeks to implement six innovative green task scheduling algorithms that have two main steps: assigning as many tasks as possible to a cloud server with lowest...
At present, power management in High-Performance Computing (HPC) environment is becoming a hot topic owning to its high operation cost, low reliability and environmental impact. In this paper, we investigate energy minimization scheduling algorithm of data dependent tasks in DVS-Enabled cluster system. Considering the data-intensive characteristics, the proposed EOTD (Energy Optimization scheduling...
The quantized measurement fusion problem for target tracking in wireless sensor networks (WSNs) is investigated. Due to the limited energy and bandwidth, each activated node quantizes and then transmits the local measurements by probabilistic quantization strategy. The fusion center (FC) estimates the target state in a dimension compression way instead of merging all the quantized messages to a vector...
Coverage is one fundamental problem in wireless sensor networks, it reflects how well an area is monitored or surveyed by sensors. Some applications require a high degree of coverage as it would want a region to be monitored by multiple nodes simultaneously. Nevertheless, the failure of one or several sensors, can paralysis the area coverage unless it was before completely covered.In this paper we...
In the past decade, energy-efficient real-time task scheduling has been widely explored in terms of various optimization problems. With a very different goal, this paper considers real-time task synchronization protocols with the minimization of energy consumption. We propose the concept of frequency locking and extend the priority ceiling protocol by locking the processor frequency in a restricted...
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