How Small Labels Create Big Improvements

By Pan Hui, Jon Crowcroft. Fifth Annual IEEE International Conference on Pervasive Computing and Communications Workshops (PerComW'07), 2006

366 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/8a0c0213447e82a456e98fc63a0f126f4566767a

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In Computer Networks and Communications

Citations in the corpus

A Survey of Social-Based Routing in Delay Tolerant Networks: Positive and Negative Social Effects (2013, background): “In their solution, Hui and Crowcroft assumed that each node has a small label telling others about its affiliation/group (i.e., its social community), just like name badges used in a conference.”
A socio-aware overlay for publish/subscribe communication in delay tolerant networks (2007, background): “Previously the characteristics of these data, such as inter-contact and contact distribution, have been explored in several studies [4] [ 18 ] [25], to which we refer the reader for further background information.”
BUBBLE Rap: Social-Based Forwarding in Delay-Tolerant Networks (2008, methodology): “First we carry out a large number of emulations of unlimited .ooding with different uniformly distributed traf.c patterns created using the HaggleSim emulator [11], which can replay the collected mobility traces and emulate different forwarding strategies for every contact event.”
Social Network Analysis for Information Flow in Disconnected Delay-Tolerant MANETs (2009, background): “[25] investigated assigning labels to n odes identifying group membership.”
Distributed community detection in delay tolerant networks (2007, background): “In PSN, community structure would correspond to human communities or some structures which are beneﬁcial for forwarding efﬁciency [12].”
Socially-aware routing for publish-subscribe in delay-tolerant mobile ad hoc networks (2008, methodology): “In terms of opportunistic unicast networking in human networks, social ties have been exploited to support communication in Pocket-Switched Networks: for example, LABEL [30] exploits clustering algorithms to group nodes in communities by evaluating their colocation patterns.”