A community based mobility model for ad hoc network research
REALMAN '06 Proceedings of the 2nd international workshop on Multi-hop ad hoc networks: from theory to reality
Impact of Human Mobility on Opportunistic Forwarding Algorithms
IEEE Transactions on Mobile Computing
Power law and exponential decay of inter contact times between mobile devices
Proceedings of the 13th annual ACM international conference on Mobile computing and networking
Proceedings of the 1st ACM SIGMOBILE workshop on Mobility models
Agenda driven mobility modelling
International Journal of Ad Hoc and Ubiquitous Computing
From opportunistic networks to opportunistic computing
IEEE Communications Magazine
Characterization of the impact of resource availability on opportunistic computing
Proceedings of the first edition of the MCC workshop on Mobile cloud computing
Epidemic content distribution: empirical and analytic performance
Proceedings of the 16th ACM international conference on Modeling, analysis & simulation of wireless and mobile systems
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Opportunistic networks consist of mobile devices, carried by people in their everyday lives. They organize autonomously to exchange data with direct neighbors without the use of any infrastructural services. Since the devices are carried by humans, one of the main challenges to consider in opportunistic networks is the human mobility behavior. However, little work exists on how the social behavior of people drives their mobility behavior and how this context information can be systematically leveraged for opportunistic networking applications. This paper tackles this problem by providing both experimental and theoretical analysis of human mobility context information. We present a novel real world experiment with sensor nodes carried by people to demonstrate and study the effect of context on people mobility. Furthermore, we define a novel metric of social distance to put this new evidence on solid mathematical foundation. Thus, our work puts a basis to systematically leveraging context information for opportunistic networking applications and services. Additionally, our experimental data traces enable testing and evaluation of such novel services in a real world scenario.