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WiFi-enabled buses and stops may form the backbone of a metropolitan delay tolerant network, that exploits nearby communications, temporary storage at stops, and predictable bus mobility to deliver non-real time information. This paper studies the problem of how to route data from its source to its destination in order to maximize the delivery probability by a given deadline. The authors assume to know the bus schedule, but they take into account that randomness, due to road traffic conditions or passengers boarding and alighting, affects bus mobility. They propose a simple stochastic model for bus arrivals at stops, supported by a study of real-life traces collected in a large urban network.
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