Use of local intelligence to reduce energy consumption of wireless sensor nodes in elderly health monitoring systems

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, se...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2014-03, Vol.14 (3), p.4932-4947
Main Authors: Lampoltshammer, Thomas J, Pignaton de Freitas, Edison, Nowotny, Thomas, Plank, Stefan, da Costa, João Paulo Carvalho Lustosa, Larsson, Tony, Heistracher, Thomas
Format: Article
Language:English
Subjects:
AAL
Activities of daily living
Aged
Artificial Intelligence
Battery
Computer Communication Networks
Devices
Elderly people
Electrical engineering
Electronic mail systems
energy
Energy consumption
Falls
Health
health care
Humans
Intelligence
Monitoring systems
Monitoring, Physiologic - instrumentation
Neural Networks, Computer
Older people
Payloads
Preserves
Sensors
Thermodynamics
wireless
Wireless Technology - instrumentation
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Summary: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.
ISSN:1424-8220
1424-8220
DOI:10.3390/s140304932