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Distributed Rate Allocation for Multi-path Routing Based on Network Utility Maximization

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Advances in Swarm Intelligence (ICSI 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7332))

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Abstract

In this paper, the multi-path utility maximization problem is investigated. As the objective function of Multipath routing is not strictly concave, the dual problem may not be differentiable for every point when one attempts to use a duality approach. To ensure the objective function strictly concave, a logarithmic term is introduced. We propose a distributed rate allocation algorithm and prove the convergence performance. Simulation results show that the mechanism can converge rapidly and make better use of network resources.

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Author information

Authors and Affiliations

  1. National Digital Switching System Engineering & Technology R&D Center, Zhengzhou, China

    Youjun Bu, Wei He, Kunpeng Jiang & Binqiang Wang

Authors
  1. Youjun Bu
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  2. Wei He
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  3. Kunpeng Jiang
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  4. Binqiang Wang
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Editor information

Editors and Affiliations

  1. Key Laboratory of Machine Perception (MOE), Peking University, Department of Machine Intelligence, School of Electronics Engineering and Computer Science, Peking University, 100871, Beijing, China

    Ying Tan

  2. Department of Electrical and Electronic Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, China

    Yuhui Shi

  3. Shenzhen City Key Laboratory of Embedded System Design, College of Computer Science and Software Engineering, Shenzhen University, 518060, Shenzhen, China

    Zhen Ji

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© 2012 Springer-Verlag Berlin Heidelberg

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Bu, Y., He, W., Jiang, K., Wang, B. (2012). Distributed Rate Allocation for Multi-path Routing Based on Network Utility Maximization. In: Tan, Y., Shi, Y., Ji, Z. (eds) Advances in Swarm Intelligence. ICSI 2012. Lecture Notes in Computer Science, vol 7332. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31020-1_46

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  • DOI: https://doi.org/10.1007/978-3-642-31020-1_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31019-5

  • Online ISBN: 978-3-642-31020-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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