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    » Self-Configuring and Optimizing Mobile Ad Hoc Networks
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    IFIP
    2004
    Springer
    100views Programming Languages» more  IFIP 2004»
    Locally Optimal Scatternet Topologies for Bluetooth Ad Hoc Networks
    16 years 10 days ago
    Locally Optimal Scatternet Topologies for Bluetooth Ad Hoc Networks
    Download  www.eng.buffalo.edu
    Tommaso Melodia, Francesca Cuomo
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    179
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    DIALM
    2007
    ACM
    92views Algorithms» more  DIALM 2007»
    Strictly-Localized Construction of Near-Optimal Power Spanners for Wireless Ad-Hoc Networks
    15 years 11 months ago
    Strictly-Localized Construction of Near-Optimal Power Spanners for Wireless Ad-Hoc Networks
    Download  www.cdm.depaul.edu
    Iyad A. Kanj, Ljubomir Perkovic, Ge Xia
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    JCO
    2007
    69views more  JCO 2007»
    Total energy optimal multicasting in wireless ad hoc networks
    15 years 6 months ago
    Total energy optimal multicasting in wireless ad hoc networks
    Download  telecom.section.informs.org
    Manki Min, Panos M. Pardalos
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    192
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    MOBIHOC
    2008
    ACM
    171views Computer Networks» more  MOBIHOC 2008»
    On the need for bidirectional coupling of road traffic microsimulation and network simulation
    16 years 6 months ago
    On the need for bidirectional coupling of road traffic microsimulation and network simulation
    Download  nsl.csie.nctu.edu.tw
    Simulation of network protocol behavior in Vehicular Ad Hoc Network (VANET) scenarios is strongly demanded for evaluating the applicability of developed network protocols. In this...
    Christoph Sommer, Zheng Yao, Reinhard German, Falk...
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    171
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    GLOBECOM
    2006
    IEEE
    112views Communications» more  GLOBECOM 2006»
    Self-Adaptive Ad-Hoc/Sensor Network Routing with Attractor-Selection
    16 years 1 months ago
    Self-Adaptive Ad-Hoc/Sensor Network Routing with Attractor-Selection
    Download  www.nal.ics.es.osaka-u.ac.jp
    Abstract— In this paper we propose MARAS, a biologicallyinspired method for routing in a mobile ad-hoc/sensor network environment. We assume that all nodes have no explicit knowl...
    Kenji Leibnitz, Naoki Wakamiya, Masayuki Murata
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