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Use of Local Intell...
Use of Local Intelligence to Reduce Energy Consumption of Wireless Sensor Nodes in Elderly Health Monitoring Systems
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- Lampoltshammer, Thomas J. (författare)
- School of Information Technology and Systems Management, Salzburg University of Applied Sciences, Puch/Salzburg, Austria
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- Pignaton de Freitas, Edison (författare)
- Department of Applied Computing, Federal University of Santa Maria, Santa Maria, Brazil
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- Nowotny, Thomas (författare)
- School of Information Technology and Systems Management, Salzburg University of Applied Sciences, Puch/Salzburg, Austria
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- Plank, Stefan (författare)
- School of Information Technology and Systems Management, Salzburg University of Applied Sciences, Puch/Salzburg, Austria
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- Carvalho Lustosa da Costa, João Paulo (författare)
- Laboratory of Array Signal Processing, Department of Electrical Engineering, University of Brasilia, Campus Universitário Darcy Ribeiro, Brasília, Brazil
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- Larsson, Tony, 1950- (författare)
- Högskolan i Halmstad,Centrum för forskning om inbyggda system (CERES)
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- Heistracher, Thomas (författare)
- School of Information Technology and Systems Management, Salzburg University of Applied Sciences, Puch/Salzburg, Austria
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(creator_code:org_t)
- 2014-03-11
- 2014
- Engelska.
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Ingår i: Sensors. - Basel : Multidisciplinary Digital Publishing Institute. - 1424-8220. ; 14:3, s. 4932-4947
- Relaterad länk:
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https://doi.org/10.3...
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https://hh.diva-port... (primary) (Raw object)
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https://www.mdpi.com...
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https://urn.kb.se/re...
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https://doi.org/10.3...
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Abstract
Ämnesord
Stäng
- The percentage of elderly people in European countries is increasing. Such conjuncture affects socio-economic structures and creates demands for resourceful solutions, such as Ambient Assisted Living (AAL), which is a possible methodology to foster health care for elderly people. In this context, sensor-based devices play a leading role in surveying, e.g., health conditions of elderly people, to alert care personnel in case of an incident. However, the adoption of such devices strongly depends on the comfort of wearing the devices. In most cases, the bottleneck is the battery lifetime, which impacts the effectiveness of the system. In this paper we propose an approach to reduce the energy consumption of sensors’ by use of local sensors’ intelligence. By increasing the intelligence of the sensor node, a substantial decrease in the necessary communication payload can be achieved. The results show a significant potential to preserve energy and decrease the actual size of the sensor device units. © 2014 by the authors; licensee MDPI, Basel, Switzerland.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Inbäddad systemteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Embedded Systems (hsv//eng)
Nyckelord
- sensors
- wireless
- energy
- AAL
- health care
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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