Comparison of energy-efficient sampling methods for WSNs in building automation scenarios

Authors:
Joern Ploennigs;Volodymyr Vasyutynskyy;Klaus Kabitzsch
Affiliations:
Dept. of Civil & Environmental Engineering, University College Cork, Cork, Ireland;Department for Computer Science, Dresden University of Technology, Dresden, Germany;Department for Computer Science, Dresden University of Technology, Dresden, Germany
Venue:
ETFA'09 Proceedings of the 14th IEEE international conference on Emerging technologies & factory automation
Year:
2009

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Abstract

Energy efficiency is an elementary requirement for battery-operated wireless sensor networks. Fulfilling this requirement concerns not only the device hardware and communication protocols, but also the device applications. Adaptive sampling approaches allow reducing the number of messages and can therefore be very relevant for sensor networks. This paper evaluates this relevance for different adaptive sampling approaches in two realistic closed control loop scenarios from building automation.