Self-Management of Routing on Human Proximity Networks

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Many modern network applications, including sensor networks and MANETs, have dynamic topologies that reflect processes occurring in the outside world. These dynamic processes are a challenge to traditional information dissemination techniques, as the appropriate strategy changes according to the changes in topology. The authors show how network dynamics can be exploited to design a self-organising data dissemination mechanism using only node-level (local) information, which detects and adapts to periodic patterns in the network topology. They demonstrate their approach against real-world human-proximity networks.