Advertisement

Mobile System Surveillance for Vehicular Pollutants Emission, Based on Wi-Fi Ad-Hoc Network

  • Amadeo José Argüelles Cruz
  • Mario Matamoros de Luis
  • Paulina Elizabeth Moreno Aguilera
  • Cornelio Yáñez Márquez
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8276)

Abstract

The prototype described in this paper intend to be a tool to correlate different ubiquitous computing devices such as vehicle embedded systems and mobile devices, such as smart phones, to deal with air pollution. This paper presents the results acquired from a prototype based on an embedded system platform and a mobile device using Wi-Fi communication. In general, the objective of the prototype is send data from an automotive gas analyzer to a mobile device by means of an embedded platform based on FPGA, essentially to notify to the vehicle owner about the behavior of the car in terms of pollutant emissions. The results of the masurements are processed and compared with the Mexican Official Standards to finally show them to the user by means of a mobile device. We use a back-end FPGA platform to process data banks from the gas analyzer, and a Wi-Fi IEEE 802.11 compliant module to transmit the results to a front-end Android based smart phone which presents the results to the user. Due to the acquired data and results are handled as in Mexican Official automotive emission test, security and communication protocols are an essential part of this prototype.

Keywords

Wireless communications mobile devices automotive emissions Android OS air pollution Wi-Fi security network TCP/IP ad-hoc network embedded systems FPGA 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
  2. 2.
    Moos, R.: A Brief Overview on Automotive Exhaust Gas Sensors Based on Electro ceramics. Int. J. Appl. Ceram. Technol. 2(5), 401–413 (2005)CrossRefGoogle Scholar
  3. 3.
  4. 4.
  5. 5.
  6. 6.
    Nirjon, S., Nicoara, A., Hsu, C.-H., Singh, J., Stankovic, J.: MultiNets: Policy Oriented Real-Time Switching of Wireless Interfaces on Mobile Devices. In: Real-Time and Embedded Technology and Applications Symposium (RTAS), pp. 251–260 (2012)Google Scholar
  7. 7.
    Chen, Y.-S., Tsai, M.-K., Chiang, L.-S., Deng, D.-J.: Adaptive Traffic-Aware Power-Saving Protocol for IEEE 802.11 Ad Hoc Networks. In: Parallel and Distributed Systems (ICPADS), pp. 866–871, 7-9 (2011)Google Scholar
  8. 8.
    Boussen, S., Tabbane, N., Tabbane, S.: Performance Analysis of SCTP Protocol in Wi-Fi Network Computer Sciences and Convergence Information Technology. In: Fourth International Conference on ICCIT 2009, pp. 178–182, 24-26 (2009)Google Scholar
  9. 9.
    Butler, M.: Android: Changing the Mobile Landscape. IEEE Pervasive Computing 10(1), 4–7CrossRefGoogle Scholar
  10. 10.
  11. 11.
  12. 12.
    Secretaría del medio ambiete de Distrito Federal, http://www.sma.df.gob.mx/verificentros/
  13. 13.
  14. 14.
    Gramaglia, M., Bernardos, C.J., Calderon, M.: Virtual induction loops based on cooperative vehicular communications. Sensors Basel Switzerland 13(2), 1467–1476 (2013)CrossRefGoogle Scholar
  15. 15.
    Hwang, J., Shin, C., Yoe, H.: A Wireless Sensor Network-Based Ubiquitous Paprika Growth Management System. Sensors (Peterboroug) 10(12), 11566–11589 (2010)CrossRefGoogle Scholar
  16. 16.
    Hii, P.-C., Chung, W.-Y.: A Comprehensive Ubiquitous Healthcare Solution on an AndroidTM Mobile Device. Sensors Basel Switzerland 11(7), 6799–6815 (2011)CrossRefGoogle Scholar
  17. 17.
    Resch, B., Mittlboeck, M., Lippautz, M.: Pervasive monitoring–an intelligent sensor pod approach for standardized measurement infrastructures. Sensors Basel Switzerland 10(12), 11440–11467 (2010)CrossRefGoogle Scholar
  18. 18.
    Walker, G.H., Stanton, N.A., Young, M.S.: Where Is Computing Driving Cars? International Journal of Human–Computer Interaction 13(2), 203–229 (2001)CrossRefGoogle Scholar
  19. 19.
    Hwang, J., Shin, C., Yoe, H.: Study on an Agricultural Environment Monitoring Server System using Wireless Sensor Network. Sensors 10, 1118–1121 (2010)Google Scholar
  20. 20.
    Bagula, A., Zennaro, M., Inggs, G., Scott, S., Gascon, D.: Ubiquitous Sensor Networking for Development (USN4D): An Application to Pollution Monitoring. Sensors 12, 391–414 (2012)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • Amadeo José Argüelles Cruz
    • 1
  • Mario Matamoros de Luis
    • 1
  • Paulina Elizabeth Moreno Aguilera
    • 1
  • Cornelio Yáñez Márquez
    • 1
  1. 1.Instituto Politécnico NacionalCentro de Investigación en ComputaciónMexico

Personalised recommendations