Intelligent Sensing with Multiagent-based Wireless Sensor Network for Bridge Condition Monitoring System

Seno Adi Putra, Bambang Riyanto Trilaksono, Muhammad Riyansyah, Dina Shona Laila, Agung Harsoyo, Achmad Imam Kistijantoro

Research output: Contribution to journalArticle

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Abstract

This paper proposes the development of an autonomous system for dynamic response-based bridge condition assessment using wireless sensor network (WSN). The assessment identifies the bridge's fundamental frequency and uses the information to determine the bridge rating. Due to the computational capability in wireless sensor nodes, it is of practical interest to implement in-network processing in bridge condition monitoring system, in which data processing is conducted within the sensor networks to prevent data flooding in WSN. One of the promising in-network processing approaches is the agent-based processing that leverages the concept of system autonomy. However, uncontrolled in-network processing consumes a lot of energy. Thus, setting all sensors to wake up or sleep deterministically is often not a feasible solution. What is needed is for the system to perform in-network processing only in the event when the bridge is traversed by a single heavy truck, whereas this event occurs randomly. Thus, the two-player game and reinforcement learning algorithm are utilized to control the process. Simulation results show that the proposed control algorithm is able to effectively determine when the process should be executed. A case study, testing the algorithm using real measurements taken from a bridge, and then comparing the test results with the results generated from finite element analysis is provided for validation purpose. Comparison of the proposed approach with earlier works, in terms of processing time and energy consumption, is also presented.

Original languageEnglish
Article number8653344
Pages (from-to)5397-5410
Number of pages14
JournalIEEE Internet of Things Journal
Volume6
Issue number3
Early online date26 Feb 2019
DOIs
Publication statusPublished - 1 Jun 2019

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Condition monitoring
Wireless sensor networks
Processing
Reinforcement learning
Sensor nodes
Learning algorithms
Trucks
Sensor networks
Dynamic response
Energy utilization
Finite element method
Sensors
Testing

Bibliographical note

© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including
reprinting/republishing this material for advertising or promotional purposes,
creating new collective works, for resale or redistribution to servers or lists, or
reuse of any copyrighted component of this work in other works.

Copyright © and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders

Keywords

  • Bridge rating
  • In-network processing
  • Multiagent system
  • Reinforcement learning (RL)
  • Two-player game
  • Wireless sensor network (WSN)

ASJC Scopus subject areas

  • Signal Processing
  • Information Systems
  • Hardware and Architecture
  • Computer Science Applications
  • Computer Networks and Communications

Cite this

Intelligent Sensing with Multiagent-based Wireless Sensor Network for Bridge Condition Monitoring System. / Putra, Seno Adi; Trilaksono, Bambang Riyanto; Riyansyah, Muhammad; Laila, Dina Shona; Harsoyo, Agung; Kistijantoro, Achmad Imam.

In: IEEE Internet of Things Journal, Vol. 6, No. 3, 8653344, 01.06.2019, p. 5397-5410.

Research output: Contribution to journalArticle

Putra, Seno Adi ; Trilaksono, Bambang Riyanto ; Riyansyah, Muhammad ; Laila, Dina Shona ; Harsoyo, Agung ; Kistijantoro, Achmad Imam. / Intelligent Sensing with Multiagent-based Wireless Sensor Network for Bridge Condition Monitoring System. In: IEEE Internet of Things Journal. 2019 ; Vol. 6, No. 3. pp. 5397-5410.
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