MAR: a commuter router infrastructure for the mobile Internet
Proceedings of the 2nd international conference on Mobile systems, applications, and services
A cross-layer optimization of gnutella for mobile ad hoc networks
Proceedings of the 6th ACM international symposium on Mobile ad hoc networking and computing
Reality mining: sensing complex social systems
Personal and Ubiquitous Computing
Inferring binary trust relationships in Web-based social networks
ACM Transactions on Internet Technology (TOIT)
COMBINE: leveraging the power of wireless peers through collaborative downloading
Proceedings of the 5th international conference on Mobile systems, applications and services
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We propose a middleware called BuddyShare to automatically form an overlay group of nearby friends' mobile phones to collaboratively download data by sharing mobile internet. This system is hypothetical in nature and only work on certain assumptions such as: 1) frequent availability of friends' phone nearby, 2) Sufficient social trust among physically close users to share internet and 3) sufficient social networking information available in phones. In order to validate these hypotheses, we collected human centric dataset of cellular phone users of university environment to study the user behavior. In this paper, we present certain social and proximity behaviors of these users that validate these hypotheses and show the practical feasibility of a BuddyShare system. We also study the usefulness of BuddyShare by virtually leveraging it on this user network, which concludes around three times scaling in download rate on average.