access icon free Development and validation of a simulator for wireless data acquisition in gas turbine engine testing

Owing to its cable-free deployment, wireless sensor networks (WSNs) have drawn great attention as a new technique for industrial data acquisition. However, the harsh environment of the gas turbine engine provides a number of challenges to deployment of wireless sensors. A definitive study of the impact of harsh environments on WSNs is currently lacking, which represents an obstacle to WSN's deployment in safety-critical industrial instrumentation and automation. In this study, the authors report the test results of applying WSNs to data acquisition in gas turbine engine testing and the development of a realistic software simulator with the purpose of de-risking the wireless data transmission technology in a project called WIDAGATE (wireless data acquisition in gas turbine engine testing). This study provides an overview of the simulation platform developed and investigates how small-scale tests of a WSN deployed on a real engine were used to validate and improve the simulator platform. This work proposes realistic modelling of the physical layer (radio channel) when subject to interference in harsh industry environment during aero-engine testing. Based on the validated, realistic physical layer model, different medium access control protocols are simulated to demonstrate how this improved simulator can be used to select an appropriate protocol.

Inspec keywords: data acquisition; engines; gas turbines; wireless sensor networks; safety; testing; mechanical engineering computing; protocols

Other keywords: physical layer model; automation; medium access control protocols; industrial data acquisition; wireless sensor networks; WIDAGATE; harsh industry environment; wireless data acquisition; cable-free deployment; WSN; gas turbine engine testing; safety-critical industrial instrumentation; aero-engine testing; software simulator

Subjects: Data acquisition equipment and techniques; Health and safety aspects; Protocols; Sensing devices and transducers; Gas-turbine power stations and plants; Instrumentation; Plant engineering, maintenance and safety; Mechanical engineering applications of IT; Protocols; Civil and mechanical engineering computing; Power and plant engineering (mechanical engineering); Data acquisition systems

References

    1. 1)
      • 16. Eurocae ed-14e: ‘A joint EUROCAE RTCA Achievement [sections 19–21]’. The European Organisation for Civil Aviation Equipment, Technical Report, March 2005.
    2. 2)
      • 8. Colesanti, U.M., Crociani, C., Vitaletti, A., ‘On the accuracy of OMNeT + + in the wireless sensor networks domain: simulation vs. testbed’. Proc. Fourth ACM workshop on Performance Evaluation of Wireless AdHoc, Sensor, and Ubiquitous Networks, New York, USA2007, pp. 2531.
    3. 3)
      • 1. Kotz, D., Newport, C., Elliott, C.: ‘The mistaken axioms of wireless-network research’. Dartmouth College Computer Science Technical Report, TR2003-67.
    4. 4)
      • 11. Bredel, M., Bergner, M.: ‘On the accuracy of IEEE 802.11 g wireless lan simulations using OMNeT + +’. Proc. Second Int. Conf. on Simulation Tools and Techniques, Brussels, Belgium, 2009, pp. 15.
    5. 5)
      • 2. Dai, X., Sasloglou, K., Atkinson, R., et al: ‘Wireless communication networks for gas turbine engine testing’. Int. J. Distributed Sensor Networks, 2012, 2012, no. article id 212876, p. 18 (doi: 10.1155/2012/212876).
    6. 6)
      • 15. Sasloglou, K., Glover, I., Dutta, P.: ‘Empirical modelling and simulation of transmission loss between wireless sensor nodes in gas turbine engines’. Proc. Seventh Int. Conf. in Information, Communications and Signal Processing (ICICS 2009), 2009.
    7. 7)
      • 5. National ICT Australia Ltd, ‘Castalia’, available at: http://www.castalia.npc.nicta.com.au, National ICT Australia.
    8. 8)
      • 14. Hashmi, S.U., Mouftah, H.T., Georganas, N.D.: ‘Achieving reliability over cluster-based wireless sensor networks using backup cluster heads’. IEEE GLOBECOM'07, 26–30 November 2007 pp. 11491153.
    9. 9)
      • 12. Kolega, E., Vescoukis, V., Voutos, D.: ‘Assessment of network simulators for real world wsns in forest environments’. 2011 IEEE Int. Conf. on Networking, Sensing and Control (ICNSC), 2011, pp. 427432.
    10. 10)
      • 9. Halkes, G.P., Langendoen, K.G.: ‘Experimental evaluation of simulation abstractions for wireless sensor network MAC protocols’. EURASIP J. Wirel. Commun. Networks, 2010, 2010, pp. 110 (doi: 10.1155/2010/601892).
    11. 11)
      • 13. Zigbee-Alliance, ‘Zigbee Specification’. Technical Report, 2005. Available at: http://www.zigbee.org/.
    12. 12)
      • 7. Kopke, A., Swigulski, M., Wessel, K., Willkomm, D.: ‘Simulating wireless and mobile networks in OMNET + + − the mixim vision’. Proc. First Int. Workshop on OMNeT + +, March 2008.
    13. 13)
      • 3. Varga, A.: ‘The OMNeT + + discrete event simulation system’. Proc. European Simulation, 2001.
    14. 14)
      • 6. MiXiM, ‘Mixim (mixed simulator) project’, available at: http://www.mixim.sourceforge.net, 2010.
    15. 15)
      • 10. Bergamini, L., Crociani, C., Vitaletti, A., Nati, M.: ‘Validation of WSN simulators through a comparison with a real testbed’. Proc. Seventh ACM workshop on Performance Evaluation of Wireless ad hoc, sensor, and ubiquitous networks, New York, USA, 2010, pp. 103104.
    16. 16)
      • 4. Mobility, F.: available at: http://www.mobility-fw.sourceforge.net/, January 2007. Available: http://www.mobility-fw.sourceforge.net/.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-wss.2012.0064
Loading

Related content

content/journals/10.1049/iet-wss.2012.0064
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading