Collaborative estimation of environmental parameters

Authors:
Dan Popescu;Radu Dobrescu;Mircea Ionel Strutu
Affiliations:
Department of Automatic Control and Industrial Informatics, University POLITEHNICA of Bucharest, Bucharest, Romania;Department of Automatic Control and Industrial Informatics, University POLITEHNICA of Bucharest, Bucharest, Romania;Department of Automatic Control and Industrial Informatics, University POLITEHNICA of Bucharest, Bucharest, Romania
Venue:
IMMURO'12 Proceedings of the 11th WSEAS international conference on Instrumentation, Measurement, Circuits and Systems, and Proceedings of the 12th WSEAS international conference on Robotics, Control and Manufacturing Technology, and Proceedings of the 12th WSEAS international conference on Multimedia Systems & Signal Processing
Year:
2012

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Abstract

Mobile autonomous platforms are considered as mobile nodes in a collaborative wireless sensor network to estimate environmental parameters like temperature, humidity, pressure, sunlight and position. These small robots are equipped with cheap and energy efficient sensory module, based on MTS420 environmental sensor board. For a better approximation of the reality, statistical indicators like sample average, sample standard deviation and confidence interval are used. Experimental results in a real outdoor application show that the method gives good results both in useful data presentation and erroneous data elimination.