Nadjet Belblidia

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A common assumption in intermittently-connected (or opportunistic) mobile networks is that any contact has enough capacity to transfer the required amount of data. Although such an assumption is reasonable for analytical purposes and when contents are small, it does not hold anymore when nodes produce contents that are larger than the capacity of a contact.(More)
Enabling content sharing among mobile users is a promising application for opportunistic networks. Clearly, collocated people are likely to share mutual interests. In this context, disseminating contents through opportunistic communications could be more efficient than passing through central servers. We implemented PACS (Prevalence-Aware Content(More)
A common assumption in intermittently-connected (or opportunistic) mobile networks is that any contact has enough capacity to transfer the required amount of data. Although such an assumption is reasonable for analytical purposes and when contents are small, it does not hold anymore when users produce contents that are larger than the capacity of a contact.(More)
Achieving efficient content dissemination in mobile opportunistic networks becomes a big challenge when content sizes are large and require more capacity than what contact opportunities between nodes may offer. Content fragmentation solves only part of the problem, as nodes still need to decide which fragment to send when a contact happens. To address this(More)
Is the temporal dimension alone sufficient to characterize contacts in opportunistic networks? Several studies analyze the temporal aspect of contacts with significant results concerning contact and inter-contact distributions. Nevertheless, only the temporal dimension does not give a complete overview of contact characterization. In this paper, we propose(More)
Disseminating large files in opportunistic networks requires splitting the content into smaller pieces in order to leverage short contacts between nodes on the move. A negative consequence of content chopping is that it may generate significant overhead, as nodes have to exchange more signaling information to determine which pieces the neighbor misses. In(More)
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