Impact of Human Mobility on the Design of Opportunistic Forwarding Algorithms

By Augustin Chaintreau, Pan Hui, Jon Crowcroft, Christophe Diot, Richard Gass, James Scott. Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications, 2006

660 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/1b7f00013e648f9e01199bcadfcad42a0bdd9c89

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Citations in the corpus

DTN routing as a resource allocation problem (2007, background): “Previous studies [9, 22] have suggested that DTNs among people have a skewed, power law inter-meeting time distribution.”
Modeling Time-Variant User Mobility in Wireless Mobile Networks (2007, background): “There are several other efforts to collect mobile node encounter traces with hand-held devices [20], [21].”
Mobility models for vehicular ad hoc networks: a survey and taxonomy (2009, methodology): “Chaintreau et al. [23] studied the inter-contact times be-tween wireless devices carried by human beings using coarse-grained wireless traces and also experimental testbeds using iMotes.”
Distributed community detection in delay tolerant networks (2007, methodology): “Previously the characteristics of these data, such as inter-contact and contact distribution, have been explored in several studies [1] [16], to which we refer the reader for further background information.”
Socially-aware routing for publish-subscribe in delay-tolerant mobile ad hoc networks (2008, methodology): “The model was validated against real traces provided by Intel Research [7]; in fact, this model is able to reproduce the distributions of inter-contacts time and contact duration that characterise this set of traces.”
On the Levy-Walk Nature of Human Mobility (2008, methodology): “The measured ICT distribution of UCSD is obtained from [6].”
SMART: A Secure Multilayer Credit-Based Incentive Scheme for Delay-Tolerant Networks (2009, background): “2020105 communicate without network infrastructure [5], [6], pocketswitched networks [7], underwater networks [8], etc.”
A socio-aware overlay for publish/subscribe communication in delay tolerant networks (2007, background): “See [4] and [19] for more details of inter-contact time analysis on the connectivity trace.”
Watching television over an IP network (2008, background): “less) and thereby reacting by accelerating or reducing their activity intensity [28,29].”
Opportunistic networking: data forwarding in disconnected mobile ad hoc networks (2006, background): “Each node is thus assigned a hierarchy level (initially zero) that increases each time it encounters the base station, and conversely decreases after not having seen the base station for a certain amount of time.”
BUBBLE Rap: Social-Based Forwarding in Delay-Tolerant Networks (2008, background): “Previously, the characteristics of these datasets such as i ntercontact and contact distribution have been explored in seve ral studies [12] [13] [14], to which we refer the reader for further background information.”
Social Network Analysis for Information Flow in Disconnected Delay-Tolerant MANETs (2009, methodology): “Section 5 evaluates the performance of the protocol along with a performance comparison between SimBetTS Routing and Epidemic Routing [51] and the PRoPHET Routing protocol [36] using three real trace data sets from the Haggle project [8], [24].”
SLAW: A New Mobility Model for Human Walks (2009, background): “The Obstacle Model (OM) with geographical constraint [24] incorporates obstacles to emulate more realistic pathways of humans around obstacles using Voronoi diagrams.”
People-centric urban sensing (2006, background): “Furthermore, inter-contact times between mobile sensors and the target collection entity can vary considerably depending on mobility patterns [27].”
Spray and Focus: Efficient Mobility-Assisted Routing for Heterogeneous and Correlated Mobility (2007, background): “A similar observation has also been made in [26], where heavy-tailed meeting times between wireless peers could result in unbounded delivery delay for such simple replication schemes.”