Structural Engineering and Mechanics

Techno-Press (테크노프레스)
권호 표지
DOI QR코드

DOI QR Code

Wireless sensor network protocol comparison for bridge health assessment

  • Kilic, Gokhan (Department of Civil Engineering, Izmir University of Economics)
  • Received : 2013.03.21
  • Accepted : 2014.01.12
  • Published : 2014.02.25
⟨ Previous Next ⟩

Abstract

In this paper two protocols of Wireless Sensor Networks (WSN) are examined through both a simulation and a case study. The simulation was performed with the optimized network (OPNET) simulator while comparing the performance of the Ad-Hoc on demand Distance Vector (AODV) and the Dynamic Source Routing (DSR) protocols. This is compared and shown with real-world measurement of deflection from eight wireless sensor nodes. The wireless sensor response results were compared with accelerometer sensors for validation purposes. It was found that although the computer simulation suggests the AODV protocol is more accurate, in the case study no distinct difference was found. However, it was shown that AODV is still more beneficial in the field as it has a longer battery life enabling longer surveying times. This is a significant finding as a large factor in determining the use of wireless network sensors as a method of assessing structural response has been their short battery life. Thus if protocols which enhance battery life, such as the AODV protocol, are employed it may be possible in the future to couple wireless networks with solar power extending their monitoring periods.

Keywords

References

  1. Basharat, A., Catbas, N. and Shah, M. (2005), "A framework for intelligent sensor network with video camera for structural health monitoring of bridges", Pervasive Computing and Communications Workshops, PerCom 2005 Workshops, Third IEEE International Conference, March.
  2. Bello, L., Bakalis, P., Manam, S.J., Eneh, T.I. and Anang, K.A. (2011), "Power control and performance comparison of AODV and DSR ad hoc routing protocols", UKSim 13th International Conference on Modelling and Simulation.
  3. Chae, M.J., Yoo, H.S., Kim, J.Y. and Cho, M.Y. (2012), "Development of a wireless sensor network system for suspension bridge health monitoring", Automation in Construction, 21, 237-252. https://doi.org/10.1016/j.autcon.2011.06.008
  4. Chang, Z., Gaydadjiev, G. and Vassiliadis, S. (2005), "Routing protocols for mobile ad hoc networks: Current development and evaluation", IEEE Comput. Soc., 187-194.
  5. Chatham Maritime House (2010), http://www.cmtrust.co.uk.
  6. Culler, D. and Hong, W. (2004), "Wireless sensor networks", Communications of the ACM, 47, 30-33. https://doi.org/10.1145/1029496.1029522
  7. Dwivedi, D., Dubey, S., Verma, A. and Lala, A. (2012), "Energy efficient reactive routing using energy evaluation model with CBR and VBR traffic model", Int. J. Elec. Comput. Sci. Eng., 1(4), 2368-2376.
  8. Farhey, D. (2006), "Integrated virtual instrumentation and wireless monitoring for infrastructure diagnostics", Struct. Hlth. Monit., 5, 29-43. https://doi.org/10.1177/1475921706057980
  9. GUOA (2011), "Optimal sensor placement in structural health monitoring (shm) with a field application on arc bridge", University of New Mexico, USA.
  10. Pirzada, A. A., Portmann, M. and Indulska, J. (2006), "Performance comparison of multi-path aodv and dsr protocols in hybrid mesh networks", Networks, ICON '06. 14th IEEE International Conference, September.
  11. Kamel, G. (2010), "Energy efficient structural health monitoring of the cutty sark using wireless sensors".
  12. Kim, J. and Lynch, J.P. (2012), "Experimental analysis of vehicle bridge interaction using a wireless monitoring system and a two stage system identification technique", Mech. Syst. Signal Proc., 28, 3-19. https://doi.org/10.1016/j.ymssp.2011.12.008
  13. Kim, J.T., Ho, D.D., Nguyen, K.D., Hong, D.S., Shin, S.W., Yun, C.B. and Shinozuka, N. (2013), "System identification of a cable-stayed bridge using vibration responses measured by a wireless sensor network", Smart Struct. Syst., 11(5), 533-553. https://doi.org/10.12989/sss.2013.11.5.533
  14. Lee, R.G., Chen, K.C., Lai, C.C., Chiang, S.S., Liu, H.S. and Wei, M.S. (2007), "A backup routing with wireless sensor network for bridge monitoring system", Measurement, 40, 55-63. https://doi.org/10.1016/j.measurement.2006.04.002
  15. Oracle Corporation (2012), Sun Spot LIMITED. http://www.sunspotworld.com.
  16. PCB Group (2012), http://www.pcb.com.
  17. Sun Oracle (2011), $Sun^{TM}$ SPOT Programmer's Manual, Release v6.0. Sun Labs, November. http://www.sunspotworld.com/docs/Yellow/SunSPOT-Programmers-Manual.pdf.
  18. Walker, R. (2010), "Issues current UK bridges", Seminar on Assessment and Maintenance of Concrete Highway Bridges, UK, April.
  19. Whelan, M.J., Gangone, M.V. and Janoyan, K.D. (2009), "Highway bridge assessment using an adaptive real-time wireless sensor network", Sensors J., IEEE, 9, 1405-1413. https://doi.org/10.1109/JSEN.2009.2026546
  20. Zhu, Z., German, S. and Brilakis, I. (2010), "Detection of large-scale concrete columns for automated bridge inspection", Automat. Constr., 19, 1047-1055. https://doi.org/10.1016/j.autcon.2010.07.016

Cited by

  1. Routing Topologies of Wireless Sensor Networks for Health Monitoring of a Cultural Heritage Site vol.16, pp.12, 2016, https://doi.org/10.3390/s16101732