A study on saving energy in artificial lighting by making smart use of wireless sensor networks and actuators

Fernández-Montes, Alejandro; Abril, Luis González; Ramírez, Juan Antonio Ortega; Morente, Francisco Velasco

doi:10.1109/mnet.2009.5350348

Cited by 23 publications

(9 citation statements)

References 5 publications

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“…Research on producing smart building has gained great interest. The energy improvement solution incorporated the use of wireless sensors for improving home utilities, such as lighting, water and gas [14,15]. Studies are inprocess to design the network to monitor the energy consumption parameters, analyze them and finally regulate consumption.…”

Section: Smart Energymentioning

confidence: 99%

Computational Intelligence for Wireless Sensor Networks: Applications and Clustering Algorithms

Solaiman¹,

Sheta²

2013

IJCA

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WSN has been directed from military applications to various civil applications. However, many applications are not ready for real world deployment. Most challenging issues are still unresolved. The main challenge facing the operation of WSN is saving energy to prolong the network lifetime. Clustering is an efficient technique used for managing energy consumption. However, clustering is an NP hard optimization problem that can't be solved effectively by traditional methods. Computational Intelligence (CI) paradigms are suitable to adapt for WSN dynamic nature. This paper explores the advantages of CI techniques and how they may be used to solve varies problems associated to WSN. Finally, a short conclusion and future recommendation is being provided.

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Section: Smart Energymentioning

confidence: 99%

Computational Intelligence for Wireless Sensor Networks: Applications and Clustering Algorithms

Solaiman¹,

Sheta²

2013

IJCA

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“…Daylight harvesting represents the state-of-the-art in current building lighting technology [36], [37]. Under daylight harvesting, indoor lighting fixtures are dimmed based on the amount of natural lighting available from the sun.…”

Section: Lightingmentioning

confidence: 99%

Making buildings energy-efficient through retrofits: A survey of available technologies

Basuroy

Chuah

Jha

2013

2013 IEEE Power &Amp; Energy Society General Meeting

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Energy expenditures represent approximately 10% of the global gross domestic product (GDP), second only to healthcare costs. Globally, the residential and commercial building sector accounts for 21% of total energy consumption. In the United States, the building sector accounts for a much larger share: 40% of the country's total energy consumption.With an increased global focus on energy conservation, the building sector presents a ripe target for introducing energy efficiency. While advancements have been made in building architecture and materials, the length of time needed for mass adoption of these technologies renders them ineffective in the short and medium term. Retrofitting existing buildings is a more desirable option, resulting in immediate energy savings while preserving the building structure. In this paper, we discuss several existing and ongoing efforts directed toward promoting energy efficiency in buildings, focusing specifically on building retrofits, and analyze their energy savings potential. This collection of building technologies spans several categories and represents various building energy end-uses. We also discuss the challenges involved in developing such energy-efficient building technologies.

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“…We consider a maximum radial speed of m/s for our system, i.e., the sensor can only detect occupants moving slower than . This upper limit corresponds to a maximum Doppler frequency given by (5) …”

Section: B Consideration For the Speed Of The Occupantmentioning

confidence: 99%

“…It has been found that between 15%-35% of the overall energy consumption in buildings goes in office lighting [1]. Sensing-based control schemes, in particular adapted to occupancy information, have been shown to realize large energy savings in office lighting systems [2]- [5]. We consider advanced presence sensing in the context of intelligent offices in this paper.…”

Section: Introductionmentioning

confidence: 99%

Ultrasonic Arrays for Localized Presence Sensing

Caicedo

Pandharipande

2012

IEEE Sensors J.

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Advanced sensing solutions are central in the realization of energy-efficient lighting systems. This paper presents an ultrasonic array sensor for localized presence sensing in indoor environments. Localized presence sensing refers to the determination of presence and locations of occupants. Our proposed sensing solution comprises of a single transmitter and a linear array of receiving elements. In order to meet presence sensing requirements in indoor office scenarios, a pulsed sinusoid transmitter waveform and receiver processing algorithms for location estimation are designed. The signals at the receiver array are processed to obtain range and direction-of-arrival estimates. These location estimates are improved using a tracking algorithm based on occupant movement models and by mitigating multipath effects. The performance of the proposed presence sensing solution is shown in multi-occupant office environments.Index Terms-Direction-of-arrival estimation, indoor lighting systems, moving target indicator, presence sensing, tracking algorithms, ultrasonic array sensor.

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A study on saving energy in artificial lighting by making smart use of wireless sensor networks and actuators

Cited by 23 publications

References 5 publications

Computational Intelligence for Wireless Sensor Networks: Applications and Clustering Algorithms

Computational Intelligence for Wireless Sensor Networks: Applications and Clustering Algorithms

Making buildings energy-efficient through retrofits: A survey of available technologies

Ultrasonic Arrays for Localized Presence Sensing

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