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Distributed Algorithm for Energy Optimal Multi-Commodity Network Flow Routing in Sensor Networks.

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F10%3A00172685" target="_blank" >RIV/68407700:21230/10:00172685 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Distributed Algorithm for Energy Optimal Multi-Commodity Network Flow Routing in Sensor Networks.

  • Original language description

    This work proposes a distributed algorithm for the energy optimal routing in wireless sensor network. The routing problem is described as a minimum-cost multi-commodity network flow problem by Linear programming. Based on the convex programming theory weuse the dual decomposition theorem to derive the distributed algorithm. The algorithm computes the energy optimal routing in the network without any central node or the knowledge about the whole network structure. Each node only needs to know the flow which is supposed to send or receive and the costs and capacities of the neighboring links.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BC - Theory and management systems

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GAP103%2F10%2F0850" target="_blank" >GAP103/10/0850: Distributed Adaptive Algorithms for Routing in Sensor Networks.</a><br>

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2010

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Wireless Communications and Signal Processing (WCSP), 2010 International Conference on

  • ISBN

    978-1-4244-7556-8

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

  • Publisher name

    IEEE

  • Place of publication

    Beijing

  • Event location

    Suzhou

  • Event date

    Oct 21, 2010

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article