WSAN-based energy efficient system in building: A monitoring and scheduling

Syahrani, Anna; Putri, Gusti Agung Ayu; Pratama, Azkario Rizky; Putra, Guntur Dharma; Najib, Warsun; Widyawan,

doi:10.1109/miceei.2014.7067311

Cited by 5 publications

(7 citation statements)

References 12 publications

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“…As well as for new constructions, these systems can also improve the performance of old buildings, because they are easily adaptable and require little invasive installation. This is the case of [ 25 ], where a WSAN is employed to achieve savings in the energy consumption of the illumination system in a building, but the application of WSANs for energy savings does not only include big set-ups, as they can also be directly used to monitor and control the energy waste of electric appliances [ 26 ]. Or for providing support to more advanced control techniques such as in [ 27 ], where fuzzy control methods are applied over a WSAN in an industrial environment.…”

Section: Related Workmentioning

confidence: 99%

Design and Implementation of a Wireless Sensor and Actuator Network to Support the Intelligent Control of Efficient Energy Usage

Blanco

García

Morenas

2018

Sensors

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Energy saving has become a major concern for the developed society of our days. This paper presents a Wireless Sensor and Actuator Network (WSAN) designed to provide support to an automatic intelligent system, based on the Internet of Things (IoT), which enables a responsible consumption of energy. The proposed overall system performs an efficient energetic management of devices, machines and processes, optimizing their operation to achieve a reduction in their overall energy usage at any given time. For this purpose, relevant data is collected from intelligent sensors, which are in-stalled at the required locations, as well as from the energy market through the Internet. This information is analysed to provide knowledge about energy utilization, and to improve efficiency. The system takes autonomous decisions automatically, based on the available information and the specific requirements in each case. The proposed system has been implanted and tested in a food factory. Results show a great optimization of energy efficiency and a substantial improvement on energy and costs savings.

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Section: Related Workmentioning

confidence: 99%

Design and Implementation of a Wireless Sensor and Actuator Network to Support the Intelligent Control of Efficient Energy Usage

Blanco

García

Morenas

2018

Sensors

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“…The scheduling-based control model makes the process of maintaining the operation of electrical devices through the schedules entered into the system [11,12], and energy efficiency is performed using remote control [10].…”

Section: Related Workmentioning

confidence: 99%

“…In [10], an automation system has been built based on user schedule using a wireless sensor actuator network (WSAN) in an office environment. The scheduling-based control model has been also developed with smart meeting scheduling [11], and monitoring and controlling systems in an office environment to minimize operational costs [12].…”

Section: Introductionmentioning

confidence: 99%

“…Monitoring and control of devices using operating schedules within buildings have been able to perform energy efficiency in accordance with user-defined policies to minimize operating costs of devices in an office environment [12]. The remote control system of electrical devices using user schedules in office environments have been providing convenience to users in controlling devices anywhere to improve energy efficiency [10]. Nevertheless, these studies have some disadvantages.…”

Section: Introductionmentioning

confidence: 99%

“…Nevertheless, these studies have some disadvantages. For instance, energy efficiency based on the scheduling has a user dependence on device control when inputting user schedules into the system (semi-manually) and assumes the maximum number of occupancy [10]. In addition, energy efficiency based on scheduling have not been thought of the preferences of many users to keep up their comfort [10 -12].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Design of Control Model for Multi-User Preference and Activity in Smart Building System for Energy Saving

Fauzi¹,

Sulistyo²,

Widyawan³

2018

IJIES

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Abstract:The environmental adaptability of the smart building is required for energy efficiency. The schedulingbased control model that widely implemented, have a user dependence and assumes maximum occupancy regardless of the occupant's desire in the energy usage requirement during the activity (i.e., ignoring user preferences). In this paper, we present our study on a building control model based on user preference, presence, location, and activity. We present it in a formal model, including conflict resolution techniques on multi-user preference (minimum, maximum, and average preference models). The contribution of this study is the optimization of control model for energy efficiency that also meet multi-user preference. The evaluation of the proposed control model is done through simulation and is compared with the scheduling-based control models. The results show that the minimum, maximum, and average preferences have an energy consumption of 73.5 kWh/day, 44.5 kWh/day, and 58.9 kWh/day, respectively, which are more efficient than the scheduling-based control model. If the Euclidean distance is used to estimate the error value between temperature and light actuation to multi-user preference, the lowest error is the average preference.

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Comparison of energy consumption in Wi-Fi and bluetooth communication in a Smart Building

Putra

Pratama

Lazovik

et al. 2017

2017 IEEE 7th Annual Computing and Communication Workshop and Conference (CCWC)

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WSAN-based energy efficient system in building: A monitoring and scheduling

Cited by 5 publications

References 12 publications

Design and Implementation of a Wireless Sensor and Actuator Network to Support the Intelligent Control of Efficient Energy Usage

Design and Implementation of a Wireless Sensor and Actuator Network to Support the Intelligent Control of Efficient Energy Usage

Design of Control Model for Multi-User Preference and Activity in Smart Building System for Energy Saving

Comparison of energy consumption in Wi-Fi and bluetooth communication in a Smart Building

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