Hub-Betweenness Analysis in Delay Tolerant Networks Inferred by Real TracesReportar como inadecuado




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1 Dipartimento di Scienze dell-Informazione Milano

Abstract : Abstract—In this paper we study the influence of using hub nodes to relay messages in human-based delay tolerant networks DTNs, by analyzing empirical traces obtained by human mobility monitoring experiments. Four traces known in literature have been considered. We exploit a measure of centrality or betweenness over underlying graphs associated to temporal networks, in order to establish in probability the ability to forward information using a restricted number of active relay nodes hubs. The proposed analyses are carried out by introducing time-dependent networks associated to real traces. The empirical cumulative distribution of the node betweenness and the shortest paths length or geodetic are derived and characterized. The analysis shows that the geodetic path length follows a lognormal skewed distribution. It is also observed that the measures of betweenness on the nodes, if ordered decreasingly and interpreted as probability distribution, exhibit an exponential-like decay, with very high betweenness for few nodes and much lower for all the others. Based on this knowledge, we study the probability of successful delivery when a set of nodes with low betweenness are deactivated as forwarding nodes. Under these assumptions, we give the probability that a k-length path connecting an arbitrary sourcedestination pair belong to the set of the activated hub nodes. The results show how a trade-off can be found between the number of relay nodes hubs activated in a temporal network and the network-s delivery rate, when message forwarding is allowed only for these hubs.

Keywords : Wireless communication Self-Optimizing Networks Scheduling





Autor: Giuliano Grossi - Federico Pedersini -

Fuente: https://hal.archives-ouvertes.fr/



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