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In this paper, we use machine learning technique at the routers to study the link state protocol data to predict the existence of shared risk link groups (SRLG) in the network. In particular, we use the correlation between different link state updates (LSUs) issued by different network nodes (routers) upon failure. The concerned network router then runs a novel Bayesian network based statistical learning...
Wireless sensor networks (WSNs) have a variety of purposes. They are mainly used for monitoring environmental factors, like CO2 concentrations, temperature and humidity. Other applications of sensor networks focus on detecting traffic parameters, e.g. passenger flows, damaged roads and traffic lights. This paper extends the current research with an economic feasibility of a real case, deploying a...
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