Literature DB >> 18325879

Human mobility models and opportunistic communications system design.

Pan Hui1, Jon Crowcroft.   

Abstract

In this paper, we seek to improve understanding of the structure of human mobility, with a view to using this for designing algorithms for the dissemination of data among mobile users. We analyse community structures and node centrality from the human mobility traces and use these two metrics to design efficient forwarding algorithms in terms of delivery ratio and delivery cost for mobile networks. This is the first empirical study of community and centrality using real human mobility datasets.

Entities:  

Year:  2008        PMID: 18325879     DOI: 10.1098/rsta.2008.0010

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  2 in total

1.  Towards routine, city-scale accessibility metrics: Graph theoretic interpretations of pedestrian access using personalized pedestrian network analysis.

Authors:  Nicholas Bolten; Anat Caspi
Journal:  PLoS One       Date:  2021-03-19       Impact factor: 3.240

2.  Regularity and predictability of human mobility in personal space.

Authors:  Daniel Austin; Robin M Cross; Tamara Hayes; Jeffrey Kaye
Journal:  PLoS One       Date:  2014-02-27       Impact factor: 3.240

  2 in total

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