Abstract
Mobile opportunistic networks (MONs) have been attracting increasing amounts of attention in recent years. Characterizing user contact behavior provides a baseline to evaluate the performance of these networks. However, because the contact distribution of nodes in MONs is conventionally modeled from
Highlights
Concomitant with the significant advancements in microelectronic and communication technologies, numerous sensors and wireless interfaces are integrated into portable devices such as smart-phones and personal digital assistants (PDAs)
Characterizing user contact behaviour provides a foundation to evaluate the performance of Mobile Opportunity Networks (MONs), because the mobility of people plays a significant role in the applications being envisioned [3] [4] [5]
We classified user pairs into friends/strangers and analyzed their contact behaviors in public hotspots and private hotspots, respectively. We examined their contact behavior in the following four situations: (1) friends in private hotspots, (2) in public hotspots, (3) strangers in private hotspots, and (4) strangers in public hotspots
Summary
Concomitant with the significant advancements in microelectronic and communication technologies, numerous sensors and wireless interfaces are integrated into portable devices such as smart-phones and personal digital assistants (PDAs) This has resulted in the emergence of a new communication paradigm called Mobile Opportunity Networks (MONs). Because most studies model the contact distribution of nodes from a large-scale perspective, i.e., by aggregating all node pairs, the contact features of nodes with multiple social relationships is not reflected [14] Their models cannot determine whether friends and strangers have similar or different contact behaviors. Taking this issue into account, we characterize user contact behavior from a social relationship perspective [15] [17] [18].
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