Impact of Human Mobility on Opportunistic Forwarding Algorithms
IEEE Transactions on Mobile Computing
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Human mobility traces are increasingly used for more realistic evaluation of mobile (opportunistic) communication systems. Although GPS traces yield the most detailed data sets, they are often limited in scale and may be incomplete since they are captured using mobile devices carried by volunteers. In this paper, we explore mechanisms to improve completeness and connectivity patterns of sparse GPS traces and assess their impact by means of the GeoLife data set. We also outline insights into geographic propagation that can be gained through these large-scale location measurements.