CRAWDAD dataset cambridge/haggle (v.2009-05-29)
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This article is published in CRAWDAD wireless network data archive.The article was published on 2009-05-29 and is currently open access. It has received 246 citations till now.read more
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A Survey on Mobile Crowdsensing Systems: Challenges, Solutions, and Opportunities
Andrea Capponi,Claudio Fiandrino,Burak Kantarci,Luca Foschini,Dzmitry Kliazovich,Pascal Bouvry +5 more
TL;DR: A survey on existing works in the MCS domain is presented and a detailed taxonomy is proposed to shed light on the current landscape and classify applications, methodologies, and architectures to outline potential future research directions and synergies with other research areas.
Proceedings ArticleDOI
Deanonymizing mobility traces: using social network as a side-channel
Mudhakar Srivatsa,Michael Hicks +1 more
TL;DR: The key idea of this approach is that a user may be identified by those she meets: a "contact graph" identifying meetings between anonymized users in a set of traces can be structurally correlated with a social network graph, thereby identifying anonymized Users.
Journal ArticleDOI
Dynamic Trust Management for Delay Tolerant Networks and Its Application to Secure Routing
TL;DR: A dynamic trust management protocol for secure routing optimization in DTN environments in the presence of well-behaved, selfish and malicious nodes is designed and validated and can effectively trade off message overhead and message delay for a significant gain in delivery ratio.
Proceedings ArticleDOI
Multi-task assignment for crowdsensing in mobile social networks
TL;DR: It is proved that the FTA algorithm is an optimal offline task assignment algorithm, and the competitive ratio of the NTA algorithm is given.
Journal ArticleDOI
A Survey of Social-Aware Routing Protocols in Delay Tolerant Networks: Applications, Taxonomy and Design-Related Issues
Kaimin Wei,Xiao Liang,Ke Xu +2 more
TL;DR: This paper presents a comprehensive survey of recent social-aware routing protocols, which offer an insight into how to utilize social relationships to design efficient and applicable routing algorithms in DTNs.