The Management of Indoor Thermal Comfort with Wireless Sensor Networks

Uguz, Sinan; Ipek, Osman

doi:10.1177/0020294017707228

Cited by 7 publications

(3 citation statements)

References 26 publications

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“…The warmness of an object can be used as a substantial source of energy for powering sensor nodes in an on-body IoT network. The chunk of energy during the process of metabolism (1 Met = 58.15 W/m 2 ) relies on the measure of muscular activity [35,36]. Given the amount of thermal energy input, an appropriate design of thermal energy harvesting (TEH) architecture with a thermoelectric generator (TEG) can be constructed.…”

Section: Design Of Thermal Energy Harvestingmentioning

confidence: 99%

A Hybrid Energy Harvesting Design for On-Body Internet-of-Things (IoT) Networks

Saraereh

Alsaraira

Khan

et al. 2020

Sensors

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The Internet-of-things (IoT) has been gradually paving the way for the pervasive connectivity of wireless networks. Due to the ability to connect a number of devices to the Internet, many applications of IoT networks have recently been proposed. Though these applications range from industrial automation to smart homes, healthcare applications are the most critical. Providing reliable connectivity among wearables and other monitoring devices is one of the major tasks of such healthcare networks. The main source of power for such low-powered IoT devices is the batteries, which have a limited lifetime and need to be replaced or recharged periodically. In order to improve their lifecycle, one of the most promising proposals is to harvest energy from the ambient resources in the environment. For this purpose, we designed an energy harvesting protocol that harvests energy from two ambient energy sources, namely radio frequency (RF) at 2.4 GHz and thermal energy. A rectenna is used to harvest RF energy, while the thermoelectric generator (TEG) is employed to harvest human thermal energy. To verify the proposed design, extensive simulations are performed in Green Castalia, which is a framework that is used with the Castalia simulator in OMNeT++. The results show significant improvements in terms of the harvested energy and lifecycle improvement of IoT devices.

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Section: Design Of Thermal Energy Harvestingmentioning

confidence: 99%

A Hybrid Energy Harvesting Design for On-Body Internet-of-Things (IoT) Networks

Saraereh

Alsaraira

Khan

et al. 2020

Sensors

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“…These sensors are beginning to be very common and are sometimes called the internet-of-things devices. Zigbee is one of the WSN which is suitable to form a real-time control system [35]. Zigbee can form a mesh network capable of giving fault-tolerant capability and sufficient data transmission distance from a distributed indoor controller [36].…”

Section: Wireless Sensor Network (Wsn)mentioning

confidence: 99%

A Novel Adaptive Lighting System Which Considers Behavioral Adaptation Aspects for Visually Impaired People

et al. 2020

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The number of visually impaired people and elderly people groups are significant, but the current lighting system used in buildings, which is based on the current standard, cannot provide the necessary lighting comfort for them. The lighting system should provide the correct illuminance for every activity and even pattern of light. This research presents the work in progress in developing the novel adaptive lighting system tailored for visually impaired people, which becomes the solution to the problem. The behavioral adaptation aspects and the experience and memory principle are taken into account in the system design. It also makes use of the latest independent adjustable artificial light (LED) technology, to get an even pattern of lighting, while still considering efficient energy usage. The proposed system structure uses a wireless sensor network (WSN), big data processing, and the Artificial Intelligence (AI) sub-system, which can predict and adaptively regulate the illumination level based on the occupant’s needs and routines. The initial simulation of the lighting model is presented in this paper. The simulation uses five scenarios in different seasons and daylight. The simulation shows satisfactory results for illuminance values 200, 250, 300, 500, and 750 lux, needed by the occupants.

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“…Zigbee is one of the WSN which is suitable to form a realtime control system [29], [30]. Zigbee can form a mesh network which capable of giving fault tolerant capability and sufficient distance of data transmission for distributed indoor controller [31].…”

Section: Wireless Sensor Network (Wsn)mentioning

confidence: 99%

A Smart Adaptive Lighting System for a Multifunctional Room

Karyono

Abdullah

Cotgrave

et al. 2019

2019 12th International Conference on Developments in eSystems Engineering (DeSE)

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Young professionals and millennials who live alone or are living in small groups and seek practicality, trigger the trend of smaller, modular and micro houses and apartments which are faster and cheaper to build. Multifunctional or flexible room is one of the important parts of the home. This particular room needs well-designed lighting for comfort. It should give an adequate illuminance for every activity and even pattern of light. This paper presents the factors for developing the smart adaptive lighting system which can provide lighting comfort for the occupants. The simulation is being done in 5 scenarios in the LJMU BRE 2010 house model using DIALux Software with the dimmable type of LED independent luminaire. The proposed system structure uses a wireless sensor network (WSN) and big data processing as the main components. The design employs an Artificial Intelligence (AI) subsystem which has the capability to predict and adaptively regulate the illumination level based on the occupant needs or routine. The simulation shows that this system is able to give even lighting pattern for luminance values 200, 250, 300, 500, and 750 lux which are needed by the occupants. With the possibility of user-defined lighting values, this system can be developed to accommodate the needs of special groups of occupants such as the elder or disabled groups.

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The Management of Indoor Thermal Comfort with Wireless Sensor Networks

Cited by 7 publications

References 26 publications

A Hybrid Energy Harvesting Design for On-Body Internet-of-Things (IoT) Networks

A Hybrid Energy Harvesting Design for On-Body Internet-of-Things (IoT) Networks

A Novel Adaptive Lighting System Which Considers Behavioral Adaptation Aspects for Visually Impaired People

A Smart Adaptive Lighting System for a Multifunctional Room

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