ISSNIP

Localization in Wireless Sensor Networks

Investigators
Staff:

Adil Bagirov;
Post Doctoral Research Fellow: Daniel T. H. Lai.

Student:
Collaborations

Jussi Pakkanen, Helsinki University of Technology, Finland.

Description
Introduction: The problem in self-localization for wireless sensor networks has experienced a recent explosion in interest. Two dominant methods are currently in use, namely Multi Dimensional Scaling (MDS) and Semi-definite Programming (SDP), however many limitations still remain when applying these techniques.
Significance: This project attempts to investigate the limitations of current methods in greater detail from a theoretical view point.
Applications: We are interested in mathematical modelling of the optimization problem and applying it to solving 3 dimensional localization problems.
Challenges: Furthermore, previous work has concentrated mostly on 2D localization problems while real world applications exist in 3D.
Publication
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