Impact of Human Mobility on Opportunistic Forwarding Algorithms

By Augustin Chaintreau, Pan Hui, Jon Crowcroft, Christophe Diot, Richard Gass, James Scott. IEEE Transactions on Mobile Computing, 2007

1,152 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/8ea5190125e036e5325bc915bfe122441d394e22

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

NextPlace: A Spatio-temporal Prediction Framework for Pervasive Systems (2011, background): “Key papers in this area include studies on mobility and connectivity patterns, such as [5, 13].”
Multicasting in delay tolerant networks: a social network perspective (2009, methodology): “For example, PROPHET [13] calculates the delivery predictability at each node by using encounter history, [25] employs some nodes with desirable mobility patterns as message ferries, [20, 3] analyze the performance of mobility-assisted schemes theoretically, and [5] provides a unified approach on mo”
Cellular Traffic Offloading through WiFi Networks (2011, background): “By exploiting this intrinsic feature of data, we propose an integrated architecture, Metropolitan Advanced Delivery Network (MADNet), that consists of cellular networks, WiFi networks, and mobile-to-mobile Pocket Switched Networks (PSNs) [4].”
Relational Representation Learning for Dynamic (Knowledge) Graphs: A Survey (2019, background): “The CONTACT dataset introduced in [30] is a dynamic network for face-to-face proximity collected through wireless devices carried by people; a link is created between two people whenever they interact.”
Understanding Human Mobility from Twitter (2014, background): “Recent effort has focused on the study of human mobility using new tracking technologies such as mobile phones [7–10], GPS [11–13], Wifi [14, 15], and RFID devices [16, 17].”
Looking ahead in pervasive computing: Challenges and opportunities in the era of cyber-physical convergence (2012, neutral): “In the long run, understanding typical patterns of behavior within specific situations would allow such behaviors to be viewed as predictable and thus be incorporated as a feature of network infrastructure [28,29].”
Representation Learning for Dynamic Graphs: A Survey (2019, background): “CONTACT: The CONTACT dataset introduced by (Chaintreau et al. (2007)) is a dynamic network for face-to-face proximity collected through wireless devices carried by”
A parsimonious model of mobile partitioned networks with clustering (2009, background): “Many research groups have studied partitioned networks in the last few years [1], [5], [12], [13], [17], [21], [24], [26], [27], [6].”
Mobile ad hoc networking: milestones, challenges, and new research directions (2014, neutral): “C”
Optimal and scalable distribution of content updates over a mobile social network (2009, background): “Measurement studies of human mobility [5], [9]–[11] have mostly focused on inter-contact time statistics and their effect on opportunistic forwarding.”
Time-varying graphs and dynamic networks (2010, background): “g, in the context of buses [7, 16], and pedestrians [22].”
Mobile Data Offloading through Opportunistic Communications and Social Participation (2012, background): “project [12] and the Reality Mining project [18].”
From opportunistic networks to opportunistic computing (2010, background): “…properties on the behavior of routing/forwarding protocols in opportunistic networks As far as point 1, the Haggle investigations showed that both distributions can be well approximated by heavy-tailed distribution functions approximately following power laws over a significant timeframe [4].”
Data Offloading Techniques in Cellular Networks: A Survey (2015, neutral): “These properties have been deeply investigated in trace-based studies [104], [105].”
Cellular traffic offloading through opportunistic communications: a case study (2010, methodology): “To this end, we exploit two real-world mobility traces from the Haggle project [7] and the Reality Mining project [12].”