Optimal RSS threshold selection in connectivity-based localization schemes

Gianni Giorgetti, Sandeep Gupta, Gianfranco Manes

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Scopus citations

Abstract

Connectivity-based localization schemes compute the node positions using proximity information collected within the network. In many cases of practical interest, Received Signal Strength (RSS) measurements are available, and connectivity data can be obtained by comparing the RSS against a threshold. We use the Cramér-Rao bound (CRB) analysis to determine the threshold value that minimizes the localization error. The CRB is based on knowledge of the propagation model's parameters and the true node positions. Since this information is not available to a localization scheme, we approximate the optimal threshold value using a function that depends only on the number of nodes in the network. We use extensive simulations and RSS data from in-field experiments to validate the results of the proposed approach.

Original languageEnglish (US)
Title of host publicationMSWiM'08
Subtitle of host publicationProceedings of the 11th ACM International Conference on Modeling, Analysis, and Simulation of Wireless and Mobile Systems
Pages220-228
Number of pages9
DOIs
StatePublished - Dec 1 2008
Event11th ACM International Conference on Modeling, Analysis, and Simulation of Wireless and Mobile Systems, MSWiM'08 - Vancouver, BC, Canada
Duration: Oct 27 2008Oct 31 2008

Publication series

NameMSWiM'08: Proceedings of the 11th ACM International Conference on Modeling, Analysis, and Simulation of Wireless and Mobile Systems

Conference

Conference11th ACM International Conference on Modeling, Analysis, and Simulation of Wireless and Mobile Systems, MSWiM'08
Country/TerritoryCanada
CityVancouver, BC
Period10/27/0810/31/08

Keywords

  • Approximation
  • Connectivity
  • Cramer-Rao Bound
  • Localization
  • Optimal
  • Signal Strength
  • Threshold

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Computer Science Applications

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