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A robustness analysis of multi-hop ranging-based localization approximations

Published: 19 April 2006 Publication History

Abstract

In this study, we implement six ranging-based localization algorithms from the literature and evaluate them in simulations that employ real-world ultrasound ranging data. We find that small variations in the ranging model can lead to large variations in localization error. We analyze each algorithm to identify how implicit assumptions may be violated by empirical ranging data and why this changes the behavior of the algorithm.

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cover image ACM Conferences
IPSN '06: Proceedings of the 5th international conference on Information processing in sensor networks
April 2006
514 pages
ISBN:1595933344
DOI:10.1145/1127777
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Publication History

Published: 19 April 2006

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Author Tags

  1. localization
  2. noise models
  3. ranging
  4. sensor networks
  5. simulation
  6. statistical emulation

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