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...
Main Author: | |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2014-10-01
|
Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/14/10/18484 |
id |
doaj-2d728f1520b74a6dab5c60106724bb88 |
---|---|
record_format |
Article |
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 |
_version_ |
1725550638140489728 |