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Dual-Decomposition Approach for Distributed Optimization in Wireless Sensor Networks

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Wireless Algorithms, Systems, and Applications (WASA 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6843))

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Abstract

In this paper, we propose a dual-decomposition based distributed optimization algorithm for WSNs. The goal is to optimize a global objective function which is a combination of local objective functions known by the sensors only. A gradient-based algorithm is proposed to find the approximate solution for the dual problem. This proposed algorithm is implemented in distributed way, which means each node in WSNs only needs exchange information with its neighboring nodes. In addition, we investigate convergence properties of the dual problem by analyzing the boundness of dual Lagrangian sequence. Simulation results for parameter estimation problem are presented to show the performance of the proposed method against consensus-based approach.

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Author information

Authors and Affiliations

  1. School of Mathematics, Sichuan University, Chengdu, China, 610064

    Yang Weng

  2. Institute for Infocomm Research, Singapore, 138632

    Wendong Xiao

Authors
  1. Yang Weng
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  2. Wendong Xiao
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Editor information

Editors and Affiliations

  1. Department of Electrical and Computer Engineering, Illinois Institute of Technology, 3301 South Dearborn Street, Siegel Hall 320, 60616-3793, Chicago, IL, USA

    Yu Cheng

  2. Department of Electrical and Computer Engineering, EBII3054, North Carolina State University, Box 7911, 27695-7911, Raleigh, NC, USA

    Do Young Eun

  3. Department of Computer Science and Technology, University of Electronic Science and Technology, 2006 Xi Yuan Road, West Hi-Tech District, 611731, Chengdu, Sichuan, China

    Zhiguang Qin

  4. National Science Foundation, Department of Electrical and Computer Engineering, Old Dominion University, 231 Kaufmann Hall, 23529, Norfolk, VA, USA

    Min Song

  5. School of Computer Science and Technology, University of Science and Technology, USTC West Campus, P.O. Box 4, 230027, Hefei, Anhui, China

    Kai Xing

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© 2011 Springer-Verlag Berlin Heidelberg

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Weng, Y., Xiao, W. (2011). Dual-Decomposition Approach for Distributed Optimization in Wireless Sensor Networks. In: Cheng, Y., Eun, D.Y., Qin, Z., Song, M., Xing, K. (eds) Wireless Algorithms, Systems, and Applications. WASA 2011. Lecture Notes in Computer Science, vol 6843. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23490-3_32

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  • DOI: https://doi.org/10.1007/978-3-642-23490-3_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23489-7

  • Online ISBN: 978-3-642-23490-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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