Towards a Better Understanding of Large-Scale Network Models

  title={Towards a Better Understanding of Large-Scale Network Models},
  author={Guoqiang Mao and Brian D. O. Anderson},
  journal={IEEE/ACM Transactions on Networking},
Connectivity and capacity are two fundamental properties of wireless multihop networks. The scalability of these properties has been a primary concern for which asymptotic analysis is a useful tool. Three related but logically distinct network models are often considered in asymptotic analyses, viz. the dense network model, the extended network model, and the infinite network model, which consider respectively a network deployed in a fixed finite area with a sufficiently large node density, a… CONTINUE READING
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