Skip to main content

Mobile Target Localization and Tracking

  • Chapter
  • First Online:
Wireless Sensor Networks

Part of the book series: Signals and Communication Technology ((SCT))

  • 4702 Accesses

Abstract

A sensor node’s position is often the primary data that needs to be sensed as sensor data without its location and timing could be meaningless. WSNs, by default, cannot provide any information where an event has happened. To do so, usually, the reporting wireless sensor node’s location has to be known. The core technology of automatically tracking the sensors’ location is known as sensor node localization. The techniques usually consist of algorithms that estimate the locations of the sensors with initially unknown location information by using knowledge of the absolute positions of a few reference sensors and other relevant known location information. This chapter introduces the basic localization methods, categorizes the localization approaches into centralized/decentralized, range-based/range-free categories. Ways of improving tracking accuracy are presented as well including considering environment factors, eliminating the outliers of radio signals, and evolutionary optimization. A ZigBee based multiple mobile targets tracking in an indoor environment is also described. An underground tunnel mobile object tracking system is provided as a case study to illustrate the implementation of the introduced sensor node localization algorithms.

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

Access this chapter

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 EPUB and 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

References

  • Alhmiedat, T., Yang, S.H.: A ZigBee Based Mobile Tracking System through Wireless Sensor Networks. Int. J. Adv. Mechatron. Syst. 1(1), 63–70 (2008)

    Article  Google Scholar 

  • Alhmiedat, T., Yang, S.H.: Tracking mobile targets through wireless sensor networks, p. 47. Lap Lambert Academic Publishing, Saarbrücken (2011)

    Google Scholar 

  • Blumenthal, J., Grossmann, R., Golatowski, F., and Timmermann, D.: Weighted centroid localization in Zigbee-Based sensor networks. In: IEEE International Symposium on Intelligent Signal Processing, pp. 1–6 (2007)

    Google Scholar 

  • Cheng, B., Hudson, R., Lorenzelli, F., Vandenberghe L., Yao, K.: Distributed gauss-newton method for node localization in wireless sensor networks. In: IEEE Sixth Workshop on Signal Processing Advances in Wireless Communication, pp. 915–919 (2005)

    Google Scholar 

  • Eberhart, R.C., Shi, Y.: Particle swarm optimization: developments, applications and resources. In: Proceedings of the IEEE Congress on Evolutionary Computation, Seoul, Korea, pp. 81–86 (2001)

    Google Scholar 

  • Feng, W.J., Bi, X.W., Jiang, R.: A novella adaptive cooperative location algorithm for wireless sensor networks. Int. J. Autom. Comput. 9(5), 539–544 (2012)

    Article  Google Scholar 

  • Gezici, S. Guvenc, I., Sahinoglu, Z.: On the performance of linear least-squares estimation in wireless positioning systems. In: IEEE International Conference on Communications, pp. 4203–4208 (2008)

    Google Scholar 

  • Liu, Y., Yi X., He, Y.: A novel centroid localization for wireless sensor networks. Int. J. Distrib. Sens. Netw. Available online at http://1/dx.doi.org/10.1155/2012/829253 (2012)

    Google Scholar 

  • Merhi, Z., Elgamel, M., Bayoumi, M.: A lightweight collaborative fault tolerant target localization system for wireless sensor networks. IEEE Trans. Mob. Comput. 8, 1690–1703 (2009)

    Article  Google Scholar 

  • Qin Y., Wang F., Zhou, C., Yang, S.H.: A particle swarm optimization based distributed localization scheme in tunnel environment. Wireless Sensor Systems—IET Conference, June, London (2012)

    Google Scholar 

  • Rappaport, T.S.: Wireless communications: principles and practice. Prentice-Hall Inc, New Jersey (1996)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Shuang-Hua Yang .

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer-Verlag London

About this chapter

Cite this chapter

Yang, SH. (2014). Mobile Target Localization and Tracking. In: Wireless Sensor Networks. Signals and Communication Technology. Springer, London. https://doi.org/10.1007/978-1-4471-5505-8_10

Download citation

  • DOI: https://doi.org/10.1007/978-1-4471-5505-8_10

  • Published:

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-5504-1

  • Online ISBN: 978-1-4471-5505-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics