Mobile Networks and Management. Second International ICST Conference, MONAMI 2010, Santander, Spain, September 22-24, 2010, Revised Selected Papers

Research Article

OLSRp: Predicting Control Information to Achieve Scalability in OLSR Ad Hoc Networks

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  • @INPROCEEDINGS{10.1007/978-3-642-21444-8_20,
        author={Esunly Medina and Roc Meseguer and Carlos Molina and Dolors Royo},
        title={OLSRp: Predicting Control Information to Achieve Scalability in OLSR Ad Hoc Networks},
        proceedings={Mobile Networks and Management. Second International ICST Conference, MONAMI 2010, Santander, Spain, September 22-24, 2010, Revised Selected Papers},
        proceedings_a={MONAMI},
        year={2012},
        month={5},
        keywords={mobile ad hoc networks prediction energy-aware},
        doi={10.1007/978-3-642-21444-8_20}
    }
    
  • Esunly Medina
    Roc Meseguer
    Carlos Molina
    Dolors Royo
    Year: 2012
    OLSRp: Predicting Control Information to Achieve Scalability in OLSR Ad Hoc Networks
    MONAMI
    Springer
    DOI: 10.1007/978-3-642-21444-8_20
Esunly Medina1,*, Roc Meseguer1,*, Carlos Molina2,*, Dolors Royo1,*
  • 1: Universitat Politècnica de Catalunya
  • 2: Universitat Rovira i Virgili
*Contact email: esunlyma@ac.upc.edu, meseguer@ac.upc.edu, carlos.molina@urv.net, dolors@ac.upc.edu

Abstract

Scalability is a key design challenge that routing protocols for ad hoc networks must properly address to maintain the network performance when the number of nodes increases. We focus on this issue by reducing the amount of control information messages that a link state proactive routing algorithm introduces to the network. Our proposal is based on the observation that a high percentage of those messages is always the same. Therefore, we introduce a new mechanism that can predict the control messages that nodes need for building an accurate map of the network topology so they can avoid resending the same messages. This prediction mechanism, applied to OLSR protocol, could be used to reduce the number of messages transmitted through the network and to save computational processing and energy consumption. Our proposal is independent of the OLSR configuration parameters and it can dynamically self-adapt to network changes.