Optimizing event-driven localization

Naigao Jin, Ziguo Zhong, Tian He

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

Abstract

Sensor node localization is a challenging task because of severe constraints on cost, energy, and effective range of sensor devices. To overcome limitations in existing solutions, this paper formally describes, designs, implements, and evaluates a Convex Optimization-based Method for Event-Driven Localization, i.e., COMEDL, in large-scale wireless sensor networks. The key idea behind COMEDL is to estimate the two-dimensional location coordinates of sensor nodes by processing multiple one-dimensional node sequences that can be easily obtained via loosely guided localization event distributions. The proposed design is evaluated through theoretical analysis, extensive simulations, and physical experiments (an indoor test-bed with 44 MICAz sensor nodes). Evaluation results demonstrate that COMEDL can effectively localize nodes with improved accuracy and flexibility.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE 10th International Conference on Mobile Ad-Hoc and Sensor Systems, MASS 2013
Pages55-63
Number of pages9
DOIs
StatePublished - Dec 1 2013
Event10th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems, MASS 2013 - Hangzhou, China
Duration: Oct 14 2013Oct 16 2013

Publication series

NameProceedings - IEEE 10th International Conference on Mobile Ad-Hoc and Sensor Systems, MASS 2013

Other

Other10th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems, MASS 2013
Country/TerritoryChina
CityHangzhou
Period10/14/1310/16/13

Keywords

  • Convex Optimization
  • Linear Programming
  • Sensor Node Localization

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