Wireless sensor network performance metrics for building applications

Jang, Won-Suk; Healy, William M.

doi:10.1016/j.enbuild.2009.12.008

Cited by 48 publications

(20 citation statements)

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“…Those studies show that commercial buildings could reduce energy consumption between 15% and 40% by closer monitoring and managing its energy usage. However, due to its short history, the application of WSN in HVAC system is still in the rudimentary stage and many challenges are still existent [14][15][16], such as signal attenuation through building structure, power management and data transmission unreliability. Besides, quite a few prototypes of applications are available [17].…”

Section: Greek Lettersmentioning

confidence: 99%

Wireless sensor network based monitoring system for a large-scale indoor space: data process and supply air allocation optimization

Zhou

Huang

Zhang

et al. 2015

Energy and Buildings

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Section: Greek Lettersmentioning

confidence: 99%

Wireless sensor network based monitoring system for a large-scale indoor space: data process and supply air allocation optimization

Zhou

Huang

Zhang

et al. 2015

Energy and Buildings

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“…A web-based building environmental monitoring system is proposed in [2], based on wireless communication scheme. In terms of performance metrics in [3], some applications have been discussed in the B Uipil Chong upchong@ulsan.ac.kr 1 School of Electrical Engineering, University of Ulsan, Ulsan, South Korea building monitoring system. Moreover, a wireless network-based monitoring system was deployed in a number of residential and commercial buildings in [4,5].…”

Section: Introductionmentioning

confidence: 99%

Design and implementation of an automated monitoring system

2016

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One of the main limitations of existing monitoring systems is their dependency on the continuous recording of video data. As a result, the system consumes huge power and needs large memory to store this data. The aim of this paper is to present an automated monitoring system that can save memory, as well as measure the target distance precisely based on the motion sensors and ultrasonic sensor. The target is detected by motion sensors and then an ultrasonic sensor is used to measure the target distance. The cross-correlation technique is used to calculate the distance of targets using ultrasonic signal. To obtain high measuring accuracy, noise reduction technique and temperature effect on velocity have been adopted. A series of real-world experiments are conducted with different targets and target positions. The experimental results show that using a noise reduction technique and temperature compensation improve the accuracy of the designed system.

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“…In the literature, several approaches based on WNs for smart grids and smart homes have been proposed [23,24]. In fact, advanced information and communications technologies (ICTs), monitoring and control, energy harvesting [25] and innovative metering technologies via smart wireless devices are becoming increasingly important.…”

Section: The Proposed Solutionmentioning

confidence: 99%

A Solution Based on Bluetooth Low Energy for Smart Home Energy Management

Collotta

Pau

2015

Energies

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Abstract:The research and the implementation of home automation are getting more popular because the Internet of Things holds promise for making homes smarter through wireless technologies. The installation of systems based on wireless networks can play a key role also in the extension of the smart grid towards smart homes, that can be deemed as one of the most important components of smart grids. This paper proposes a fuzzy-based solution for smart energy management in a home automation wireless network. The approach, by using Bluetooth Low Energy (BLE), introduces a Fuzzy Logic Controller (FLC) in order to improve a Home Energy Management (HEM) scheme, addressing the power load of standby appliances and their loads in different hours of the day. Since the consumer is involved in the choice of switching on/off of home appliances, the approach introduced in this work proposes a fuzzy-based solution in order to manage the consumer feedbacks. Simulation results show that the proposed solution is efficient in terms of reducing peak load demand, electricity consumption charges with an increase comfort level of consumers. The performance of the proposed BLE-based wireless network scenario are validated in terms of packet delivery ratio, delay, and jitter and are compared to IEEE 802.15.4 technology.

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Wireless sensor network performance metrics for building applications

Cited by 48 publications

References 0 publications

Wireless sensor network based monitoring system for a large-scale indoor space: data process and supply air allocation optimization

Wireless sensor network based monitoring system for a large-scale indoor space: data process and supply air allocation optimization

Design and implementation of an automated monitoring system

A Solution Based on Bluetooth Low Energy for Smart Home Energy Management

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