Pocket switched networks and human mobility in conference environments
By Pan Hui, Augustin Chaintreau, James Scott, Richard Gass, Jon Crowcroft, Christophe Diot. WDTN '05, 2005
1,055 citations recorded by the source corpus.
Pocket Switched Networks (PSN) make use of both human mobility and local/global connectivity in order to transfer data between mobile users' devices. This falls under the Delay Tolerant Networking (DTN) space, focusing on the use of opportunistic networking. One key problem in PSN is in designing forwarding algorithms which cope with human mobility patterns. We present an experiment measuring forty-one humans' mobility at the Infocom 2005 conference. The results of this experiment are similar to our previous experiments in corporate and academic working environments, in exhibiting a power-law distrbution for the time between node contacts. We then discuss the implications of these results on the design of forwarding algorithms for PSN.
Subfields: Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/467b9e8e493f8368173bb2f55ea8077185d4d8e1
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Citations in the corpus
- Dynamics of Person-to-Person Interactions from Distributed RFID Sensor Networks (2008, background): “The dynamical properties of these interaction patterns can be inferred by measuring the duration of contacts and the duration of the intervals between consecutive contacts [9,11,14,21].”
- Routing in Delay/Disruption Tolerant Networks: A Taxonomy, Survey and Challenges (2013, background): “In mobile wireless networks, the terrestrial applications of DTNs have been envisioned for UnderWater Networks (UWNs) [9], Pocket Switched Networks (PSNs) [10], Vehicular Ad hoc NETworks (VANETs) [11], Airborne”
- 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.”
- On the Levy-Walk Nature of Human Mobility (2008, methodology): “[7] reports power-law slopes of 0.3 from the INFOCOM trace [ 19 ] and 0.4 from the UCSD trace [20].”
- Designing mobility models based on social network theory (2007, methodology): “CM speed=[1-6] m/s CM speed=[1-10] m/s CM speed=[1-20] m/s Intel traces”
- A community based mobility model for ad hoc network research (2006, methodology): “The traces from Dartmouth College and UCSD also show a power law distribution with different angular coefficients [ 4 ].”
- BreadCrumbs: forecasting mobile connectivity (2008, background): “Haggle [13] is a framework for disseminating data between mobile users based on the fleeting occasions when they come into physical contact with each other.”
- BUBBLE Rap: Social-Based Forwarding in Delay-Tolerant Networks (2008, background): “BUBBLE Rap: Social-based Forwarding in Delay Tolerant Networks Pan Hui, Jon Crowcroft, Eiko Yoneki University of Cambridge, Computer Laboratory Cambridge CB3 0FD United Kingdom [.rstname.lastname@cl.cam.ac.uk] ABSTRACT In this paper we seek to improve our understanding of human mobility in terms…”
- High-Resolution Measurements of Face-to-Face Contact Patterns in a Primary School (2011, background): “Some properties are however expected to be rather general, such as the heterogeneity of the contact durations and of the cumulated contact durations, that has been observed in several other settings [3,11,15,18,19] and seems to be ubiquitous in human interactions.”
- How Small Labels Create Big Improvements (2006, background): “Previous work [8] has shown that intercontact time follows a power-law distribution, the bigger that value of the power coefficient, the more frequently the nodes pair interact.”
- Performance analysis of mobility-assisted routing (2006, background): “[11], although easy to use, do not closely resemble mobility involving humans [19, 20, 22].”
- Contact Patterns in a High School: A Comparison between Data Collected Using Wearable Sensors, Contact Diaries and Friendship Surveys (2015, background): “[15] Hui P, Chaintreau A, Scott J, Gass R, Crowcroft J, et al.”