Skip to main content
SpringerLink
Log in

Data Suppression Algorithms for Surveillance Applications of Wireless Sensor and Actor Networks

  • Conference paper
  • First Online:
Computer Networks (CN 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 522))

Included in the following conference series:

Abstract

This paper introduces algorithms for surveillance applications of wireless sensor and actor networks (WSANs) that reduce communication cost by suppressing unnecessary data transfers. The objective of the considered WSAN system is to capture and eliminate distributed targets in the shortest possible time. Computational experiments were performed to evaluate effectiveness of the proposed algorithms. The experimental results show that a considerable reduction of the communication costs together with a performance improvement of the WSAN system can be obtained by using the communication algorithms that are based on spatiotemporal and decision aware suppression methods.

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 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight 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

References

  1. Kamali, M., Laibinis, L., Petre, L., Sere, K.: Formal development of wireless sensor-actor networks. Sci. Comput. Program. 80, 25–49 (2014)

    Google Scholar 

  2. Akyildiz, I.F., Kasimoglu, I.H.: Wireless sensor and actor networks: research challenges. Ad Hoc Netw. 2(4), 351–367 (2004)

    Google Scholar 

  3. Khamis, A., ElGindy, A.: Minefield mapping using cooperative multirobot systems. J. Robot. 2012, 1–7 (2012). article ID 698046

    Google Scholar 

  4. Vedantham, R., Zhuang, Z., Sivakumar, R.: Mutual exclusion in wireless sensor and actor networks. In: 3rd Annual IEEE Communications Society on Sensor and Ad Hoc Communications and Networks SECON 2006, vol. 1, pp. 346–355 (2006)

    Google Scholar 

  5. Kumar, M.S., Rajasekaran, S.: Detection and extinguishing forest fires using wireless sensor and actor networks. Int. J. Comput. Appl. 24(1), 31–35 (2011)

    Google Scholar 

  6. Płaczek, B.: Selective data collection in vehicular networks for traffic control applications. Transp. Res. Part C Emer. Technol. 23, 14–28 (2012)

    Google Scholar 

  7. Płaczek, B.: Uncertainty-dependent data collection in vehicular sensor networks. In: Kwiecień, A., Gaj, P., Stera, P. (eds.) CN 2012. CCIS, vol. 291, pp. 430–439. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  8. Bernaś, M.: WSN power conservation using mobile sink for road traffic monitoring. In: Kwiecień, A., Gaj, P., Stera, P. (eds.) CN 2013. CCIS, vol. 370, pp. 476–484. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  9. Porwik, P.: The spectral test of the boolean function linearity. Int. J. Appl. Math. Comput. Sci. 13(4), 567–576 (2003)

    MATH  MathSciNet  Google Scholar 

  10. Alippi, C., Anastasi, G., Di Francesco, M., Roveri, M.: An adaptive sampling algorithm for effective energy management in wireless sensor networks with energy-hungry sensors. IEEE Trans. Instrum. Meas. 59(2), 335–344 (2010)

    Google Scholar 

  11. Zhang, Y., Lum, K., Yang, J.: Failure-aware cascaded suppression in wireless sensor networks. IEEE Trans. Knowl. Data Eng. 25(5), 1042–1055 (2013)

    Google Scholar 

  12. Zhou, X., Xue, G., Qian, C., Li, M.: Efficient data suppression for wireless sensor networks. In: 14th IEEE International Conference on Parallel and Distributed Systems ICPADS 2008, pp. 599–606 (2008)

    Google Scholar 

  13. Evans, W.C., Bahr, A., Martinoli, A.: Distributed spatiotemporal suppression for environmental data collection in real-world sensor networks. In: IEEE International Conference on Distributed Computing in Sensor Systems DCOSS, pp. 70–79 (2013)

    Google Scholar 

  14. Silberstein, A., Gelfand, A., Munagala, K., Puggioni, G., Yang, J.: Making sense of suppressions and failures in sensor data: a bayesian approach. In: Proceedings of the 33rd International Conference on Very Large Data Bases, pp. 842–853 (2007)

    Google Scholar 

  15. Puggioni, G., Gelfand, A.E.: Analyzing space-time sensor network data under suppression and failure in transmission. Stat. Comput. 20(4), 409–419 (2010)

    MathSciNet  Google Scholar 

  16. Yigitel, M.A., Incel, O.D., Ersoy, C.: QoS-aware MAC protocols for wireless sensor networks: a survey. Comput. Netw. 55(8), 1982–2004 (2011)

    Google Scholar 

  17. Płaczek, B.: Communication-aware algorithms for target tracking in wireless sensor networks. In: Kwiecień, A., Gaj, P., Stera, P. (eds.) CN 2014. CCIS, vol. 431, pp. 69–78. Springer, Heidelberg (2014)

    Chapter  Google Scholar 

  18. Płaczek, B., Bernaś, M.: Optimizing data collection for object tracking in wireless sensor networks. In: Kwiecień, A., Gaj, P., Stera, P. (eds.) CN 2013. CCIS, vol. 370, pp. 485–494. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute of Computer Science, University of Silesia, Będzińska 39, 41-200, Sosnowiec, Poland

    Bartłomiej Płaczek & Marcin Bernas

Authors
  1. Bartłomiej Płaczek
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Marcin Bernas
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Bartłomiej Płaczek .

Editor information

Editors and Affiliations

  1. Silesian University of Technology, Gliwice, Poland

    Piotr Gaj

  2. Silesian University of Technology, Gliwice, Poland

    Andrzej Kwiecień

  3. Silesian University of Technology, Gliwice, Poland

    Piotr Stera

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Płaczek, B., Bernas, M. (2015). Data Suppression Algorithms for Surveillance Applications of Wireless Sensor and Actor Networks. In: Gaj, P., Kwiecień, A., Stera, P. (eds) Computer Networks. CN 2015. Communications in Computer and Information Science, vol 522. Springer, Cham. https://doi.org/10.1007/978-3-319-19419-6_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-19419-6_3

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19418-9

  • Online ISBN: 978-3-319-19419-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation