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The end-to-end blocking probability has been used as a performance criterion to quantify network reliability. Yum and Schwartz have shown that different types of routing schemes for circuit-switched traffic in a nonhierarchical network, with uniform traffic intensity, lead to different performance trade-offs. It is also assumed that the network is symmetric and the redirected traffic on the links is Poisson. It is, however, not clear how the trade-offs would be effected by using different traffic intensities on the links, i.e. if the nodes generate calls with different rates. This paper analyzes the traffic behavior without assuming that the redirected traffic is necessarily Poisson or that the network is symmetric. We examine a statistical model to obtain the exact limiting distribution and the end-to-end blocking probability of a single specified link, a group of links and the entire network for relatively small networks.

Delay (Disruption, Disconnection) Tolerant Networks (DTNs) are sparse networks with intermittent connectivity. They play a growing important role in various communication systems including vehicular networks, mule networks, interplanetary networks, sensor networks and mobile ad hoc networks as well as in networks operating under extreme conditions. Delay Tolerant Networks (DTNs) are based on store-carry-forward techniques in order to compensate for intermittent link connectivity. The intermittent connectivity pattern (deterministic or probabilistic) is affected by the network nodes mobility. The End-to-End (E2E) delay performance is mainly affected by the dynamics of the underlying network topology, the routing algorithm, and the traffic load. In this paper, we develop an analytical model that incorporates the link intermittent distribution along with a tandem queuing model to determine the E2E delay performance under various traffic conditions and links disruption distributions. [ABSTRACT FROM AUTHOR]