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Green Building is an important research area in IOT. The energy efficiency in green buildings is vital for global sustainability. However many factors affect energy consumption by the device and most of the green buildings are not really green due to static energy supply and centralized control on devices. Here we propose a design using LEDs to make use of environmental factors such as sunlight and...
In this paper, we present a reinforcement learning framework to improve energy efficiency of domestic hot water provision using air source heat pumps. Simulations carried out using data from 40 houses shows 10–15% energy reduction, depending on occupant behavior. In absolute terms, this accounts to an energy reduction of about 150 kWh/a per house. The framework is extended to real world control, with...
As we are living in a data-driven world and directed toward internet, the need for data enter is growing. The main limitation for building cloud infrastructures is their energy consumption. Moreover, their conception is not perfect because servers are not the ones consuming all the power, cooling systems are responsible for half of the consumption. Cooling costs can be reduced by intelligent scheduling,...
High performance computing (HPC) systems are omnipresent in processing huge amounts of data. However, power consumption of these systems is becoming far from negligible, forcing software developers and hardware providers to deviate from usual performance plans, and to address power consumption and costs. As a result, small-scale applications are becoming infeasible to run on those systems, making...
Since energy comprises a meaningful share of total production cost due to its surged cost, manufacturing companies should strive to take energy issues into account when planning and managing production processes and facilities. Energy resources such as electrical power, water, steam, gas, etc. must be monitored and managed as any other traditional enterprise resources. The aim of this paper is to...
With the increasing popularity of Internet-based cloud services, energy efficiency in large-scale Internet data centers has become important not only to curtail energy costs and alleviate environmental concern, but also because such systems can quickly reach the limits of power available to them. This paper investigates to what extent and how energy usage improvements through consolidation can benefit...
Modern data centers and cloud platforms demand higher levels of energy consumption and better temperature control together with the increasing processing demand and storage resources. Consolidation techniques using virtualization are currently the most promising methods used in today data centers to mitigate the effects of the increasing energy consumption trend. Although the false impression is that...
This paper presents a distributed fermat-point range estimation strategy, which is important in the moving sensor localization applications. The fermat-point is defined as a point which minimizes the sum of distances from three sensors inside a triangle. This point is indeed at the trianglepsilas center of gravity. We solve the problems of large errors and poor performance in the bounding box algorithm...
Sink mobility has become an increasingly important requirement of various sensor network applications. Handling such mobile sink conditions brings new challenges to large-scale sensor networking. This investigation proposed a hybrid-structure routing protocol (HSRP) that combines the benefits of grid-based and cluster-based structures. Grid-based structure is designed to solve the cluster head selection...
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