A Distributed Method for Solving Semidefinite Programs Arising from Ad Hoc Wireless Sensor Network Localization

  • Pratik Biswas
  • Yinyu Ye
Part of the Nonconvex Optimization and Its Applications book series (NOIA, volume 82)


We describe a distributed or decomposed semidefinite programming (SDP) method for solving Euclidean metric localization problems that arise from ad hoc wireless sensor networks. Using the distributed method, we can solve very large scale semidefinite programs which are intractable for the centralized methods. Our distributed or decomposed SDP scheme also seems to be applicable to solving other Euclidean geometry problems where points are locally connected.


Sensor Network Wireless Sensor Network Position Estimation Anchor Node Semidefinite Program 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media, Inc. 2006

Authors and Affiliations

  • Pratik Biswas
    • 1
  • Yinyu Ye
    • 2
  1. 1.Electrical EngineeringStanford UniversityStanfordUSA
  2. 2.Management Science and Engineering and, by courtesy, Electrical EngineeringStanford UniversityStanfordUSA

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