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Sensors 2014, 14(10), 18484-18497; doi:10.3390/s141018484

Active Sensing and Its Application to Sensor Node Reconfiguration

Department of Mechanical and System Design Engineering, Hongik University, Seoul 121-791, Korea
Received: 2 July 2014 / Revised: 14 September 2014 / Accepted: 23 September 2014 / Published: 8 October 2014
(This article belongs to the Section Sensor Networks)
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Abstract

This paper presents a perturbation/correlation-based active sensing method and its application to sensor node configuration for environment monitoring. Sensor networks are widely used as data measurement tools, especially in dangerous environments. For large scale environment monitoring, a large number of nodes is required. For optimal measurements, the placement of nodes is very important. Nonlinear spring force-based configuration is introduced. Perturbation/correlation-based estimation of the gradient is developed and it is much more robust because it does not require any differentiation. An algorithm for tuning the stiffness using the estimated gradient for node reconfiguration is presented. The performance of the proposed algorithm is discussed with simulation results. View Full-Text
Keywords: perturbation/correlation; active sensing; gradient estimation; sensor node configuration perturbation/correlation; active sensing; gradient estimation; sensor node configuration
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Lee, S. Active Sensing and Its Application to Sensor Node Reconfiguration. Sensors 2014, 14, 18484-18497.

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