LiveNet: Using Passive Monitoring to Reconstruct Sensor Network Dynamics
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CitationChen, Bor-rong, Geoffrey Peterson, Geoff Mainland, and Matt Welsh. 2007. LiveNet: Using Passive Monitoring to Reconstruct Sensor Network Dynamics. Harvard Computer Science Group TR-11-07.
AbstractUnderstanding the behavior of deployed sensor networks is difficult as they become more sophisticated and larger in scale. Much of the difficulty comes from the lack of tools to provide a global view on the network dynamics. This paper describes LiveNet, a set of tools and techniques for reconstructing complex dynamics of live sensor network deployments. LiveNet is based on the use of passive sniffers co-deployed with the network. We address several challenges: merging multiple sniffer traces, determining coverage of sniffers, inference of missing information for path reconstruction and high-level analyses with application-specific knowledge. To validate LiveNet’s accuracy, we conduct controlled experiments on an indoor testbed. Finally, we present data from a real deployment using LiveNet. The results show that LiveNet is able to to reconstruct network topology, bandwidth usage, routing paths, identify hot-spot nodes, and disambiguate failures observed at application level without instrumenting application code.
Citable link to this pagehttp://nrs.harvard.edu/urn-3:HUL.InstRepos:25104738
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