
Wireless sensor network for structural health monitoring using RFID based data mules
- 1 Bennett University
- 2 Bennett University
- 3 University of Warwick
- 4 Jeonbuk National University
- 5 Graphic Era Deemed to be University
- 6 Amity University Uttar Pradesh
- 7 Amity University Uttar Pradesh
* Author to whom correspondence should be addressed.
Abstract
The wireless system did the huge cost-cutting in monitoring the structure so, now it can be used permanently as an integral part of the system as a smart infrastructure that will give them real-time information the structure. The wireless devices transmit the collected data about cracks, displacement, and excess vibration in slab-tracks. The train which will collect the data and train will be used as a data mule in this paper which will upload the information to a remote-control centre. The data which will be collected stored in the database and to know the status of the track a query will be fired from an application. In this paper, many design for communication systems are proposed which are efficient, with fine accuracy, and most importantly it is a low-cost system.
Keywords
RFID, WSN, sensor node, communication technology
[1]. Akyildiz, I.F.; Su, W.; Sankarasubramaniam, Y.; Cayirci, E. Wireless sensor networks: A survey. Comput. Netw. J. 2002, 38, 393–422.
[2]. Gaura, E.; Girod, L.; Brusey, J.; Allen, M.; Challen, G. Wireless Sensor Networks, De- ployments and Design Frameworks; Springer: New York, NY, USA, 2010.
[3]. Chen, J.; Díaz, M.; Llopis, L.; Rubio, B.; Troya, J.M. A survey on quality of service sup- port in wireless sensor and actor networks: Requirements and challenges in the context of critical infrastructure protection. J. Netw. Comput. Appl. 2011, 34, 1225–1239.
[4]. Booping, D. CIIP in Australia. In Proceedings of the First CI2RCO Critical Information Infrastructure Protection Conference, Rome, Italy, 28–29 March 2006.
[5]. Chebrolu, K.; Raman, B.; Mishra, N.; Valiveti, P.K.; Kumar, R. BriMon: A Sensor net- work system for railway bridge monitoring. In Proceedings of the 6th Annual International
[6]. Conference on Mobile Systems, Applications and Services (MobiSys!08), Breckenridge, CO, USA, 17–20 June 2008.
[7]. Aboelela, E.; Edberg, W.; Papakonstantinou, C.; Vokkarane, V. Wireless sensor network based model for secure railway operations. In Proceedings of the 25th IEEE International
[8]. WSAN4CIP: Wireless Sensor and Actor Networks for the Protection of Critical Infrastruc- tures (European project FP7 ICT-SEC-2007-1). Available online: http://www.wsan4cip.eu (accessed on 11 June 2015).
[9]. E-balance: Balancing Energy Production and Consumption in Energy Efficient Smart Neighborhoods (European project FP7 STREP–609132). Available online: http://www.e- balance-project.eu/ (accessed on 11 June 2015).
[10]. Cañete, E.; Chen, J.; Díaz, M.; Llopis, L.; Rubio, B. Sensor4PRI: A sensor platform for the protection of railway infrastructures. Sensors 2015, 15, 4996–5019.
[11]. Osterlind, F.; Dunkels, A.; Eriksson, J.; Finne, N.; Voigt T.; Cross-level sensor network simulation with COOJA. In Proceedings of the First IEEE International Workshop on Practical Issues in Building Sensor Network Applications (SenseApp 2006), Tampa, FL, USA, 14–16 November 2006.
Cite this article
Singh,P.;Maurya,A.;Shankar,A.;E.,S.V.;Diwakar,M.;Pandey,H.;Anushka,A. (2023). Wireless sensor network for structural health monitoring using RFID based data mules. Applied and Computational Engineering,20,1-5.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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