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Jon Crowcroft

Researcher at University of Cambridge

Publications -  692
Citations -  40720

Jon Crowcroft is an academic researcher from University of Cambridge. The author has contributed to research in topics: The Internet & Multicast. The author has an hindex of 87, co-authored 672 publications receiving 38848 citations. Previous affiliations of Jon Crowcroft include Memorial University of Newfoundland & Information Technology University.

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Introduction to: Special Issue on Smartphone-Based Interactive Technologies, Systems, and Applications

TL;DR: This special issue of ACM Transactions on Multimedia Computing, Communications and Applications (TOMM) provides an opportunity to attract and bring together mobile computing, cyber-physical systems, ubiquitous computing, social computing, wireless networking, and multimedia communications researchers along with user interface designers and practitioners with diverse backgrounds to contribute articles on theoretical, practical, and methodological issues for next-generation interactive technologies, systems, and applications using smartphones.

Pocket Switched Networks: Real-world mobility and its consequences for opportunistic forwarding

TL;DR: It is found that the distribution of inter-contact time follows an approximate power law over a large time range in all data sets, at odds with the exponential decay expected by many currently used mobility models.
Journal ArticleDOI

Modelling incentives for collaboration in mobile ad hoc networks

TL;DR: The model incorporates incentives for users to act as transit nodes on multi-hop paths and to be rewarded with their own ability to send traffic and illustrates the way in which network resources are allocated to users according to their geographical position.
Proceedings ArticleDOI

A socio-aware overlay for publish/subscribe communication in delay tolerant networks

TL;DR: This work exploits distributed community detection from the trace and proposes a Socio-Aware Overlay over detected communities for publish/subscribe communication and creates an overlay with such centrality nodes from communities.
Proceedings ArticleDOI

Watching television over an IP network

TL;DR: This paper presents the first analysis of IPTV workloads based on network traces from one of the world's largest IPTV systems, and describes the properties of viewing sessions, channel popularity dynamics, geographical locality, and channel switching behaviors.