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Range-Based Localization in Mobile Sensor Networks

  • Bram Dil
  • Stefan Dulman
  • Paul Havinga
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3868)

Abstract

Localization schemes for wireless sensor networks can be classified as range-based or range-free. They differ in the information used for localization. Range-based methods use range measurements, while range-free techniques only use the content of the messages. None of the existing algorithms evaluate both types of information. Most of the localization schemes do not consider mobility. In this paper, a Sequential Monte Carlo Localization Method is introduced that uses both types of information as well as mobility to obtain accurate position estimations, even when high range measurement errors are present in the network and unpredictable movements of the nodes occur. We test our algorithm in various environmental settings and compare it to other known localization algorithms. The simulations show that our algorithm outperforms these known range-oriented and range-free algorithms for both static and dynamic networks. Localization improvements range from 12% to 49% in a wide range of conditions.

Keywords

Sensor Network Wireless Sensor Network Range Measurement Transmission Range Node Density 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Bram Dil
    • 1
  • Stefan Dulman
    • 2
  • Paul Havinga
    • 1
    • 2
  1. 1.Embedded SystemsUniversity of TwenteThe Netherlands
  2. 2.Ambient SystemsThe Netherlands

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