Seeing the Bigger Picture: How Nodes Can Learn Their Place Within a Complex Ad Hoc Network Topology

@article{Bertrand2013SeeingTB,
  title={Seeing the Bigger Picture: How Nodes Can Learn Their Place Within a Complex Ad Hoc Network Topology},
  author={Alexander Bertrand and Marc Moonen},
  journal={IEEE Signal Processing Magazine},
  year={2013},
  volume={30},
  pages={71-82}
}
This article explained how nodes in a network graph can infer information about the network topology or its topology related properties, based on in-network distributed learning, i.e., without relying on an external observer who has a complete overview over the network. Some key concepts from the field of SGT were reviewed, with a focus on those that allow for a simple distributed implementation, i.e., eigenvector or Katz centrality, algebraic connectivity, and the Fiedler vector. This paper… CONTINUE READING
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