NDLI: Dynamic control of data measurement intervals in a networked sensing system using neurocomputing

Content Provider	IEEE Xplore Digital Library
Author	Xinwei Wang Jabbari, A. Laur, R. Lang, W.
Copyright Year	2010
Description	Author affiliation: Institute for Theoretical Electrical Engineering and Microelectronic (ITEM), University of Bremen, D-28359 Germany (Xinwei Wang; Laur, R.) \|\| Institute for Microsensors, -actuators and systems (IMSAS), University of Bremen, D-28359 Germany (Jabbari, A.; Lang, W.)
Abstract	A new algorithm for dynamic controlling of data measurement intervals in a networked sensing system (NSS) is presented in this paper. The method is developed on a wireless sensor network (WSN) for food quality supervision during the transportation process using containers. The artificial neural network (ANN) is used for data approximation due to its learning capability and high flexibility. At each instance, the measurement interval is changed dynamically depending on the stability of the environmental parameters in the container. The wireless sensor network is able to detect the possible unstable situations automatically with low energy consumption. Firstly, the performance of the dynamic control mechanism is tested in a simulation environment. Later, the developed algorithm is implemented to adjust the measurement intervals in a real transportation system. The new developed technique could be applied to decrease the power consumption in various applications of the networked sensing systems.
Starting Page	77
Ending Page	80
File Size	1029543
Page Count	4
File Format	PDF
ISBN	9781424479115
e-ISBN	9781424479108
DOI	10.1109/INSS.2010.5573671
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-15
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	artificial neural network dynamic measurement interval Humidity measurement Area measurement intelligent transportation networked sensing system
Content Type	Text
Resource Type	Article

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