amsys 15(6): e3

Research Article

Recurring contact opportunities within groups of devices

Download480 downloads
  • @ARTICLE{10.4108/eai.22-7-2015.2260048,
        author={Nuno Cruz and Hugo Miranda},
        title={Recurring contact opportunities within groups of devices},
        journal={EAI Endorsed Transactions on Ambient Systems},
        volume={2},
        number={6},
        publisher={EAI},
        journal_a={AMSYS},
        year={2015},
        month={8},
        keywords={mobility, wireless, communities, temporal communities, contact prediction},
        doi={10.4108/eai.22-7-2015.2260048}
    }
    
  • Nuno Cruz
    Hugo Miranda
    Year: 2015
    Recurring contact opportunities within groups of devices
    AMSYS
    EAI
    DOI: 10.4108/eai.22-7-2015.2260048
Nuno Cruz1,*, Hugo Miranda2
  • 1: Instituto Superior de Engenharia de Lisboa
  • 2: Faculdade de Ciências/Universidade de Lisboa/LaSIGE
*Contact email: ncruz-ec@net.ipl.pt

Abstract

The capability to anticipate a contact with another device can greatly improve the performance and user satisfaction not only of mobile social network applications but of any other relying on some form of data harvesting or hoarding. One of the most promising approaches for contact prediction is to extrapolate from past experiences. This paper investigates the recurring contact patterns observed between groups of devices using an 8-year data-set of wireless access logs produced by more than 70000 devices. This effort permitted to model the probabilities of occurrence of a contact at a predefined date between groups of devices using a power law distribution that varies according to neighbourhood size and recurrence period.

In the general case, the model can be used by applications that need to disseminate large data-sets by groups of devices. As an example, the paper presents and evaluates an algorithm that provides daily contact predictions, based on the history of past pairwise contacts and their duration.