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Consumption charge on electricity is one of the issues faced by dormitories, room for rent, apartment and the like. Ideally, tenants must only pay what they have used for a specific period of time, but inevitably sometimes, they pay beyond their actual use simply because of unavailability of a meter or machine that could measure their actual use individually. Due to this practice and the current scheme...
The boundary detection of continuous objects has become an important research challenge in Wireless Sensor Networks (WSNs), where improving the accuracy of boundary and reducing the energy consumption are the primary factors to be considered. To address this challenge, this article proposes a tow-stage boundary area detection scheme in duty-cycled WSNs, and sensor nodes are deployed in a dense fashion...
Energy forecast is essential for a good planning of the electricity consumption as well as for the implementation of decision support systems which can lead the decision making process of energy system. Energy consumption time series prediction problems represent a difficult type of predictive modelling problem due to the existence of complex linear and non-linear patterns. This paper presents two...
The energetic behaviour of ten nZEB built in Piemonte (region located in NW Italy) is analysed from experimental data. The energy consumptions are normalized for the weather conditions and size of the building, then the consumptions are compared with the design data. The data analysis shows that nZEB can be built in northern part of Italy and even if the real consumptions are slightly higher than...
Wireless Body Sensor Networks (WBSNs) are a low-cost solution allowing remote patient monitoring and continuous health assessment, thus reducing healthcare expenditure. In such networks, sensor nodes periodically collect vital signs and send them to the coordinator for fusion. However, sensor nodes have limited energy and processing resources and transmission is the most power-hungry task. In this...
This paper presents a case study on the deployment of smart building monitoring and ongoing commissioning in Canadian federal government office buildings. The case study involved four office buildings with a total rentable space of about 100,000 m2. Based on the measurement and verification results over a reporting period of 12 to 24 months, the four pilot buildings have demonstrated an average energy...
Smart metering is one of the main objectives for the EU member states to ensure the benefit of consumers on the long term. Due to its functionality, smart meters have a wide applicability in: power quality monitoring, energy savings, data awareness and fraud detection. With long-term cost benefits of the smart meters, it is expected that 72% of European consumers will have a smart meter for electricity...
Buildings represent 40% of total primary energy use in the U.S., and researchers have recognized the necessity of making office spaces more energy efficient. To reduce energy consumption, it is important to take into account buildings occupants' behavior into account. The difference between simulated, estimated and real power consumption in buildings reflects the need to search for more accurate ways...
This contribution shows how rationalized energy consumption can be achieved using user-oriented mobile application. It is undoubtable that energy efficiency improvement is one of the most important targets to be achieved on every society as a whole and in power system in particular. With the advent of smart grids, residential end users are expected to shift from their passive role as consumers of...
The absence of real time energy consumption information (RTECI) has often made electricity users in many developing countries to be at loggerheads with their service providers. A cloud based metering infrastructure is developed as a viable solution. This paper offers basic information regarding cloud based advanced metering infrastructure (AMI) for analysis in extended smart green energy management...
Industrial Cyber-physical systems (ICPSs) are expected to provide effective solutions for improving the operation of many existing industrial manufacturing systems. Wireless sensor networks in the industrial field is classified as low-power and lossy network due to energy constrained devices, the dynamic environment and a high packet loss rate. Energy efficiency and delivery reliability need to be...
IOT has seen countless potential applications that can improve our lives dramatically, but after years of efforts by numerous companies and organizations, the beautiful dreams are yet to be realized. The main obstacles are cost and energy consumption constraints of the devices and systems, which still cannot be contained. As a step forward in improving the reliability and reducing the cost and energy...
Green building plays an important role in the development of the construction industry. The key issue of green building is how to operate itself. This paper presents a building management cloud platform for green buildings. Its goal is to realize building operation management by using the technologies of cloud computing and Internet of things. The cloud servers provide data storage, computing and...
IOT has seen countless potential applications that can improve our lives dramatically, but after years of efforts by numerous companies and organizations, the beautiful dreams are yet to be realized. The main obstacles are cost and energy consumption constraints of the devices and systems, which still cannot be contained. As a step forward in improving the reliability and reducing the cost and energy...
Cache leakage reduction techniques usually compromise time predictability, which are not desirable for real-time systems. In this work, we extend the cache decay and drowsy cache techniques within the hardware-based Performance Enhancement Guaranteed Cache (PEG-C) architecture. The PEG-C can dynamically monitor the performance penalties caused by using leakage energy reduction techniques to ensure...
Despite recent advances that have greatly improved the performance of embedded systems, we still face many challenges with regard to energy consumption in energy-constrained embedded and communication platforms. Optimizing applications for energy consumption remains a challenge and thus is a compelling research direction, both on the practical and theoretical sides. This paper presents a new experimental...
Several monitoring oriented applications in Wireless Sensor Networks (WSNs) are characterized by the necessity of two data-reporting modes: time-driven and event-driven. The former is used mainly for constantly supervising an area and the latter for event detection and target tracking. By switching between both modes a WSN can improve its energy-efficiency and accuracy of measurement processes, compared...
Low power sensors are emerging to up held the current edge technology. Sensor devices linked to each other via short ranged radios form wireless sensor networks (WSN). In recent development, WSNs are utilized for Internet of Things (IoT) applications like monitoring, automation and control, etc. The data collected is dumped on internet cloud so that easy access to data from remote place is possible...
A large number of sensor nodes are deployed to remote locations and left unattended for a long time in wireless sensor network applications. When a battery-powered sensor node depletes its energy, it is assumed as “dead” and recharging or replacing the battery is not possible in most of the applications. Lifetime of the wireless sensor network depends on the efficient use of available restricted energy...
In Wireless Sensor Networks (WSNs), the efficient use of sensor energy is a crucial point to extend the network lifetime and has been the focus of many industrial and academic researchers, since it is not a trivial task. Several methodologies for clustering, routing and energy saving in WSNs are available in the literature. However, the lack of detailed and crucial information from the analyzed studies...
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