Active Sensing and Its Application to Sensor Node Reconfiguration

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 num...

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Main Author: Sooyong Lee
Format: Article
Language:English
Published: MDPI AG 2014-10-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/14/10/18484
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spelling doaj-2d728f1520b74a6dab5c60106724bb882020-11-24T23:28:07ZengMDPI AGSensors1424-82202014-10-011410184841849710.3390/s141018484s141018484Active Sensing and Its Application to Sensor Node ReconfigurationSooyong Lee0Department of Mechanical and System Design Engineering, Hongik University, Seoul 121-791, KoreaThis 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.http://www.mdpi.com/1424-8220/14/10/18484perturbation/correlationactive sensinggradient estimationsensor node configuration
collection DOAJ
language English
format Article
sources DOAJ
author Sooyong Lee
spellingShingle Sooyong Lee
Active Sensing and Its Application to Sensor Node Reconfiguration
Sensors
perturbation/correlation
active sensing
gradient estimation
sensor node configuration
author_facet Sooyong Lee
author_sort Sooyong Lee
title Active Sensing and Its Application to Sensor Node Reconfiguration
title_short Active Sensing and Its Application to Sensor Node Reconfiguration
title_full Active Sensing and Its Application to Sensor Node Reconfiguration
title_fullStr Active Sensing and Its Application to Sensor Node Reconfiguration
title_full_unstemmed Active Sensing and Its Application to Sensor Node Reconfiguration
title_sort active sensing and its application to sensor node reconfiguration
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2014-10-01
description 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.
topic perturbation/correlation
active sensing
gradient estimation
sensor node configuration
url http://www.mdpi.com/1424-8220/14/10/18484
work_keys_str_mv AT sooyonglee activesensinganditsapplicationtosensornodereconfiguration
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