Publications:Use of Local Intelligence to Reduce Energy Consumption of Wireless Sensor Nodes in Elderly Health Monitoring Systems

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Title Use of Local Intelligence to Reduce Energy Consumption of Wireless Sensor Nodes in Elderly Health Monitoring Systems
Author Thomas J. Lampoltshammer and Edison Pignaton de Freitas and Thomas Nowotny and Stefan Plank and João Paulo Carvalho Lustosa da Costa and Tony Larsson and Thomas Heistracher
Year 2014
PublicationType Journal Paper
Journal Sensors
HostPublication
DOI http://dx.doi.org/10.3390/s140304932
Conference
Diva url http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:704835
Abstract 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.