Skip to main content
SpringerLink
Log in

Sensory Data Gathering for Road Traffic Monitoring: Energy Efficiency, Reliability, and Fault Tolerance

  • Chapter
Modeling and Processing for Next-Generation Big-Data Technologies

Part of the book series: Modeling and Optimization in Science and Technologies ((MOST,volume 4))

  • 3538 Accesses

Abstract

Vehicular traffic monitoring and control using through road sensor network is challenging due to a continuous data streaming over the resource constrained sensor devices. The delay sensitivity and reliability of the large volume of application data as well as the scarcity of sensor resources demand efficient designing of data collection protocol. In this Chapter, a novel tree-based data gathering scheme has been proposed, exploiting the strip-like structure of the road network. An efficient scheduling mechanism is implemented to assure both the coverage and the critical power savings of the sensor nodes. The network connectivity is guaranteed throughout by the proposed tree maintenance module that handles the dynamics of the network as a result of sensor node joining and leaving events. An application message controller has been designed that works cooperatively with the tree management module, and handles continuous streaming of the application data to ensure no loss or redundancy in data delivery. The performance of the proposed scheme is evaluated using the simulation results and compared with other approaches for large data collection in sensor network.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Magnetic sensors, honeywell, http://www.magneticsensors.com/vehicle-detection-solutions.php

  2. Ns-2 network simulator, version 2.34, http://www.isi.edu/nsnam/ns/

  3. Ceriotti, M., Corra, M., D’Orazio, L., Doriguzzi, R., Facchin, D., Guna, S., Jesi, G., Lo Cigno, R., Mottola, L., Murphy, A., Pescalli, M., Picco, G., Pregnolato, D., Torghele, C.: Is there light at the ends of the tunnel? wireless sensor networks for adaptive lighting in road tunnels. In: Proceedings of the 10th International Conference on Information Processing in Sensor Networks, pp. 187–198 (2011)

    Google Scholar 

  4. Chan, K.Y., Dillon, T.: On-road sensor configuration design for traffic flow prediction using fuzzy neural networks and taguchi method. IEEE Transactions on Instrumentation and Measurement 62(1), 50–59 (2013)

    Article  Google Scholar 

  5. Chen, L.W., Peng, Y.H., Tseng, Y.C.: An infrastructure-less framework for preventing rear-end collisions by vehicular sensor networks. IEEE Communications Letters 15(3), 358–360 (2011)

    Article  Google Scholar 

  6. Cheung, S.Y., Varaiya, P.: Traffic surveillance by wireless sensor networks: Final report. Tech. Rep. UCB-ITS-PRR-2007-4, University of California, Berkeley (2007)

    Google Scholar 

  7. Coleri, S., Cheung, S.Y., Varaiya, P.: Sensor networks for monitoring traffic. In: Proceedings of the Allerton Conference on Communication, Control and Computing (2004)

    Google Scholar 

  8. Ergen, S.C., Varaiya, P.: Pedamacs: Power efficient and delay aware medium access protocol for sensor networks. IEEE Transactions on Mobile Computing 5, 920–930 (2006)

    Article  Google Scholar 

  9. Flathagen, J., Drugan, O., Engelstad, P., Kure, O.: Increasing the lifetime of roadside sensor networks using edge-betweenness clustering. In: Proc. of IEEE ICC, pp. 1–6 (2011)

    Google Scholar 

  10. Gallego, N., Mocholi, A., Menendez, M., Barrales, R.: Traffic monitoring: Improving road safety using a laser scanner sensor. In: Proceedings of the Electronics, Robotics and Automotive Mechanics Conference, pp. 281–286 (2009)

    Google Scholar 

  11. Haddadou, N., Rachedi, A., Ghamri-Doudane, Y.: Advanced diffusion of classified data in vehicular sensor networks. In: Proceedings of the 7th International Wireless Communications and Mobile Computing Conference, pp. 777–782 (2011)

    Google Scholar 

  12. Iyengar, R., Kar, K., Banerjee, S.: Low-coordination topologies for redundancy in sensor networks. In: Proc. of the 6th ACM MobiHoc, pp. 332–342 (2005)

    Google Scholar 

  13. Jeong, J., Guo, S., He, T., Du, D.: APL: Autonomous passive localization for wireless sensors deployed in road networks. In: Proceedings of the 27th IEEE Conference on Computer Communications, pp. 583–591 (2008)

    Google Scholar 

  14. Jeong, J., Guo, S., He, T., Du, D.: Autonomous passive localization algorithm for road sensor networks. IEEE Transactions on Computers 60(11), 1622–1637 (2011)

    Article  MathSciNet  Google Scholar 

  15. Knaian, A.N.: A wireless sensor network for smart roadbeds and intelligent transportation systems. Tech. rep., Massachusetts Institute of Technology, USA (2000)

    Google Scholar 

  16. Kong, F., Tan, J.: A collaboration-based hybrid vehicular sensor network architecture. In: Proceedings of the International Conference on Information and Automation, pp. 584–589 (2008)

    Google Scholar 

  17. Koyama, A., Honma, Y., Arai, J., Barolli, L.: An enhanced zone-based routing protocol for mobile ad-hoc networks based on route reliability. In: Proceedings of the 20th IEEE AINA, pp. 61–68 (2006)

    Google Scholar 

  18. Kumar, S., Chauhan, S.: A survey on scheduling algorithms for wireless sensor networks. International Journal of Computer Applications 20(5), 7–13 (2011)

    Article  Google Scholar 

  19. Gu Lee, B., Han Kim, J.: Algorithm for finding the moving direction of a vehicle using magnetic sensor. In: Proceedings of the IEEE Symposium on Computational Intelligence in Control and Automation, pp. 74–79 (2011)

    Google Scholar 

  20. Li, W., Chan, E., Hamdi, M., Lu, S., Chen, D.: Communication cost minimization in wireless sensor and actor networks for road surveillance. IEEE Transactions on Vehicular Technology 60(2), 618–631 (2011)

    Article  Google Scholar 

  21. Lim, K.W., Jung, W.S., Ko, Y.B.: Multi-hop data dissemination with replicas in vehicular sensor networks. In: proceedings of the IEEE Vehicular Technology Conference, pp. 3062–3066 (2008)

    Google Scholar 

  22. Manolopoulos, Y., Katsaros, D., Papadimitriou, A.: Topology control algorithms for wireless sensor networks: a critical survey. In: Proc. of the 11th CompSysTech, pp. 1–10 (2010)

    Google Scholar 

  23. Momen, A., Azmi, P., Bazazan, F., Hassani, A.: Optimised random structure vehicular sensor network. IET Intelligent Transport Systems 5(1), 90–99 (2011)

    Article  Google Scholar 

  24. Ng, E.H., Tan, S.L., Guzman, J.: Road traffic monitoring using a wireless vehicle sensor network. In: Proceedings on IEEE International Symposium on Intelligent Signal Processing and Communications Systems, pp. 1–4 (2009)

    Google Scholar 

  25. Onodera, K., Miyazaki, T.: An autonomous algorithm for construction of energy-conscious communication tree in wireless sensor networks. In: Proc. of the 22nd AINAW, pp. 898–903 (2008)

    Google Scholar 

  26. Ostovari, P., Dehghan, M., Wu, J.: Connected point coverage in wireless sensor networks using robust spanning trees. In: Proc. of the 31st ICDCSW, pp. 287–293 (2011)

    Google Scholar 

  27. Palubinskas, G., Kurz, F., Reinartz, P.: Detection of traffic congestion in optical remote sensing imagery. In: Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, vol. 2, pp. 426–429 (2008)

    Google Scholar 

  28. Pantavungkour, S., Shibasaki, R.: Three line scanner, modern airborne sensor and algorithm of vehicle detection along mega-city street. In: Proceedings of the 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas, pp. 263–267 (2003)

    Google Scholar 

  29. Pascale, A., Nicoli, M., Deflorio, F., Dalla Chiara, B., Spagnolini, U.: Wireless sensor networks for traffic management and road safety. IET Intelligent Transport Systems 6(1), 67–77 (2012)

    Article  Google Scholar 

  30. Pelczar, C., Sung, K., Kim, J., Jang, B.: Vehicle speed measurement using wireless sensor nodes. In: Proceedings of the IEEE International Conference on Vehicular Electronics and Safety, pp. 195–198 (2008)

    Google Scholar 

  31. Rothery, S., Hu, W., Corke, P.: An empirical study of data collection protocols for wireless sensor networks. In: Proceedings of the ACM REALWSN, pp. 16–20 (2008)

    Google Scholar 

  32. Santi, P.: Topology control in wireless ad hoc and sensor networks. ACM Comput. Surv. 37(2), 164–194 (2005)

    Article  Google Scholar 

  33. Sung, K., Yoo, J.J., Kim, D.: Collision warning system on a curved road using wireless sensor networks. In: Proceedings of the IEEE 66th Vehicular Technology Conference, pp. 1942–1946 (2007)

    Google Scholar 

  34. Tang, J., Zhu, B., Zhang, L., Hincapie, R.: Wakeup scheduling in roadside directional sensor networks. In: Proc. of IEEE GLOBECOM, pp. 1–6 (2011)

    Google Scholar 

  35. Tubaishat, M., Qi, Q., Shang, Y., Shi, H.: Wireless sensor-based traffic light control. In: Proceedings of the 5th IEEE Consumer Communications and Networking Conference, pp. 702–706 (2008)

    Google Scholar 

  36. Uchiyama, T., Mohri, K., Itho, H., Nakashima, K., Ohuchi, J., Sudo, Y.: Car traffic monitoring system using MI sensor built-in disk set on the road. IEEE Transactions on Magnetics 36(5), 3670–3672 (2000)

    Article  Google Scholar 

  37. Wang, Q., Hempstead, M., Yang, W.: A realistic power consumption model for wireless sensor network devices. In: Proc. of 3rd Annual IEEE SECON, vol. 1, pp. 286–295 (2006)

    Google Scholar 

  38. Wang, X., Xing, G., Zhang, Y., Lu, C., Pless, R., Gill, C.: Integrated coverage and connectivity configuration in wireless sensor networks. In: Proc. of the 1st SenSys, pp. 28–39 (2003)

    Google Scholar 

  39. Wightman, P., Labrador, M.: A3Cov: A new topology construction protocol for connected area coverage in WSN. In: Proc. of IEEE WCNC, pp. 522–527 (2011)

    Google Scholar 

  40. Xie, W., Zhang, X., Chen, H.: Wireless sensor network topology used for road traffic. In: Proceedings of the IET Conference on Wireless, Mobile and Sensor Networks, pp. 285–288 (2007)

    Google Scholar 

  41. Yu, X., Liu, Y., Zhu, Y., Feng, W., Zhang, L., Rashvand, H., Li, V.O.K.: Efficient sampling and compressive sensing for urban monitoring vehicular sensor networks. IET Wireless Sensor Systems 2(3), 214–221 (2012)

    Article  Google Scholar 

  42. Zeng, Y., Xiang, K., Li, D.: Applying behavior recognition in road detection using vehicle sensor networks. In: Proceedings of the International Conference on Computing, Networking and Communications, pp. 751–755 (2012)

    Google Scholar 

  43. Zhang, L., Wang, R., Cui, L.: Real-time traffic monitoring with magnetic sensor networks. Journal of Information Science and Engineering 27, 1473–1486 (2011)

    Google Scholar 

  44. Zhou, G., Huang, C., Yan, T., He, T., Stankovic, J.A., Abdelzaher, T.F.: MMSN: Multi-frequency media access control for wireless sensor networks. In: Proc. of the 25th IEEE INFOCOM, pp. 1–13 (2006)

    Google Scholar 

  45. Zhu, C., Zheng, C., Shu, L., Han, G.: A survey on coverage and connectivity issues in wireless sensor networks. J. Netw. Comput. Appl. 35, 619–632 (2012)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Indian Institute of Technology, Guwahati, India, 781039

    Suchetana Chakraborty, Sandip Chakraborty, Sukumar Nandi & Sushanta Karmakar

Authors
  1. Suchetana Chakraborty
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sandip Chakraborty
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Sukumar Nandi
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Sushanta Karmakar
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Suchetana Chakraborty .

Editor information

Editors and Affiliations

  1. Universitat Politècnica de Catalunya, Barcelona, Spain

    Fatos Xhafa

  2. Fukuoka Institute of Technology (FIT), Fukuoka, Fukuoka, Japan

    Leonard Barolli

  3. University of Salerno, Salerno, Italy

    Admir Barolli

  4. Canadian Institute of Technology, Tirana, Albania

    Petraq Papajorgji

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Chakraborty, S., Chakraborty, S., Nandi, S., Karmakar, S. (2015). Sensory Data Gathering for Road Traffic Monitoring: Energy Efficiency, Reliability, and Fault Tolerance. In: Xhafa, F., Barolli, L., Barolli, A., Papajorgji, P. (eds) Modeling and Processing for Next-Generation Big-Data Technologies. Modeling and Optimization in Science and Technologies, vol 4. Springer, Cham. https://doi.org/10.1007/978-3-319-09177-8_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-09177-8_4

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09176-1

  • Online ISBN: 978-3-319-09177-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation