A markov routing algorithm for mobile DTNs based on spatio-temporal modeling of human movement data
Proceedings of the 14th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
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Human opportunistic networks can facilitate wireless content dissemination while humans are on the move. In such a network, content is disseminated via nodes relaying and nodes mobility (human mobility). Thus it is essential to understand and model the real human mobility. We present a Heterogeneous Community-based Random Way-Point (HC-RWP) mobility model that captures the four important properties of real human mobility. These properties are based on both intuitive observations of daily human mobility and analysis of empirical mobility traces. By discrete event simulation, we show HC-RWP captures essential statistic features of wide range of real human mobility traces reported in previous studies.