Energy-efficient on-node signal processing for vibration monitoring

Vignesh Raja Karuppiah Ramachandran, Andrea Sanchez Ramirez, B.J. van der Zwaag, Nirvana Meratnia, Paul J.M. Havinga

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

7 Citations (Scopus)
146 Downloads (Pure)

Abstract

In recent years, the use of wireless sensor networks for vibration monitoring is emphasized, because of its capability to continuously monitor at hard-to-reach locations of complex machines. Low power consumption is one of the main requirements for the sensor nodes in continuous and long-term vibration monitoring. However, the power consumption of state-of-the-art wireless sensor nodes is significantly increased by wireless radio in continuously transmitting the raw vibration data to the base station. One of the ways to reduce the power consumption is to reduce the duty-cycle of wireless transmission. Accurately processing the vibration data on the sensor node and transmitting only the critical information, such as natural frequency, defective frequency and amplitude of the vibration, will not only reduce the amount of data transmitted but also the duty cycle of the wireless communication. It eventually leads to reduction of total power consumed by the sensor nodes. In this paper the capability of a sensor node to accurately process the real-time vibration data is analyzed and the corresponding power consumption is measured. In particular, impact-based analysis of real-time vibration data is performed by breaking complex signal-processing tasks into manageable segments on the sensor nodes to minimize algorithmic complexity while still meeting real-time deadlines of the algorithm. As a result, it is found that the accuracy of the on-node signal processing is comparable with conventional off-node monitoring methods, whilst reducing total power consumption.
Original languageUndefined
Title of host publicationProceedings of the IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2014
Place of PublicationUSA
PublisherIEEE
Pages1-6
Number of pages6
ISBN (Print)978-1-4799-2842-2
DOIs
Publication statusPublished - Apr 2014
Event9th IEEE International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2014 - Hwee-Pink Tan Institute for Infocomnm Research, Singapore, Singapore
Duration: 21 Apr 201424 Apr 2014
Conference number: 9

Publication series

Name
PublisherIEEE

Conference

Conference9th IEEE International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2014
Abbreviated titleISSNIP
CountrySingapore
CitySingapore
Period21/04/1424/04/14

Keywords

  • EWI-24557
  • METIS-304229
  • IR-91388
  • EC Grant Agreement nr.: FP7/289041

Cite this

Ramachandran, V. R. K., Sanchez Ramirez, A., van der Zwaag, B. J., Meratnia, N., & Havinga, P. J. M. (2014). Energy-efficient on-node signal processing for vibration monitoring. In Proceedings of the IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2014 (pp. 1-6). USA: IEEE. https://doi.org/10.1109/ISSNIP.2014.6827691