Mercator: Self-organizing Geographic Connectivity Maps for Scalable Ad-Hoc Routing

  • Luis A. Hernando
  • Unai Arronategui
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4725)


A fundamental problem of future networks is to get fully self-organized routing protocols with good scalability properties that produce good paths in a wide range of network densities. Current approaches, geographic routing and table based routing, fail to provide very good scalability with good paths in sparse networks. We propose a method based on the discovery of connectivity between geographic regions that are self-organized in a multilevel hierarchy. The Mercator protocol builds lightweight connectivity maps in a fully decentralized manner and shows a scalable and resilient behaviour. Each node builds and maintains its own hierarchical map that summarizes connectivity information of all the network around itself using geographic regions. Link state routing is used over the multilevel connectivity graph of the map to obtain global paths. The analysis and simulation of our approach show that routing state and communication overhead grows logarithmically with network size while producing good paths.


Self-Organizing Hierarchical Protocol Geographic Connectivity Maps Link State Scalable Ad-hoc Routing 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Luis A. Hernando
    • 1
  • Unai Arronategui
    • 1
  1. 1.I3A, University of Zaragoza, C/María de Luna 1, Ed. Ada Byron, 50018. ZaragozaSpain

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