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1389-1286/$ see front matter 2010 Elsevier B.V doi:10.1016/j.comnet.2009.08.014 q A preliminary version of this manuscript MSWiM’08. * Corresponding author. Present address: Room 353 Serra Mall, Stanford University, Stanford, CA 94 E-mail addresses: rusakt@stanford.edu (T. Rusak) (P. Levis). We propose deriving wireless simulation models from experimental(More)
We observe that low-power wireless links have non-trivial time-scaling characteristics at both the physical- and link-layers. Packet reception rate (PRR) analysis shows that links are bursty rather than constant, i.e., their reception quality varies greatly from the overall packet reception rate at different times. Furthermore, this variation is seen at(More)
We propose deriving wireless simulation models from experimental traces of radio signal strength. Because experimental traces have holes due to packet losses, we explore two algorithms for filling the gaps in lossy experimental traces. Using completed traces, we apply the closest-fit pattern matching (CPM) algorithm, originally designed for modeling(More)
We observe non-trivial temporal variation and correlation in the usage patterns in a wide range of social network links. In particular, we note that the usage of links is highly variable and temporally correlated (bursty) over a large number of time scales. This is in contrast to a näıve analysis that might assume that use of Internet-enabled social(More)
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