A distributed spring model algorithm for sensor localization using dimension expansion and hyperbolic tangential force

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

1 Scopus citations

Abstract

This paper proposes two improvements of the spring model algorithm for solving localization problems in a wireless sensor network with anchors. First, the two-dimensional localization problem is solved in three-dimensional space. This dimension expansion can effectively prevent the spring model algorithm from falling into local minima. Second, the Hooke spring force (linear) is replaced by hyperbolic tangential force (a continuous function that emulates the sign function). This significantly improves the robustness of the algorithm in the presence of multiplicative noise. The efficacy of these two techniques are demonstrated by several simulations, especially in a scenario with anchor points of longer broadcasting radius than other sensors.

Original languageEnglish (US)
Title of host publication2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2011
Pages381-384
Number of pages4
DOIs
StatePublished - Dec 1 2011
Event2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2011 - San Juan, Puerto Rico
Duration: Dec 13 2011Dec 16 2011

Publication series

Name2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2011

Other

Other2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2011
CountryPuerto Rico
CitySan Juan
Period12/13/1112/16/11

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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