Resilient localization for sensor networks in outdoor environments

Youngmin Kwon, Kirill Mechitov, Sameer Sundresh, Wooyoung Kim, Gul Agha

Research output: Contribution to conferencePaperpeer-review


The process of computing the physical locations of nodes in a wireless sensor network is known as localization. Self-localization is critical for large-scale sensor networks because manual or assisted localization is often impractical due to time requirements, economic constraints or inherent limitations of deployment scenarios. We have developed a service for reliably localizing wireless sensor networks in environments conducive to ranging errors by using a custom hardware-software solution for acoustic ranging and a family of self-localization algorithms. The ranging solution improves on previous work, extending the practical measurement range threefold (20-30m) while maintaining a distance-invariant median measurement error of about 1% of maximum range (33cm). The localization scheme is based on least squares scaling with soft constraints. Evaluation using ranging results obtained from sensor network field experiments shows that the localization scheme is resilient against large-magnitude ranging errors and sparse range measurements, both of which are common in large-scale outdoor sensor network deployments.

Original languageEnglish (US)
Number of pages10
StatePublished - 2005
Event25th IEEE International Conference on Distributed Computing Systems - Columbus, OH, United States
Duration: Jun 6 2005Jun 10 2005


Other25th IEEE International Conference on Distributed Computing Systems
Country/TerritoryUnited States
CityColumbus, OH

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications


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