1 research outputs found
Human Mobility in Opportunistic Networks: Characteristics, Models and Prediction Methods
Opportunistic networks (OppNets) are modern types of intermittently connected
networks in which mobile users communicate with each other via their
short-range devices to share data among interested observers. In this setting,
humans are the main carriers of mobile devices. As such, this mobility can be
exploited by retrieving inherent user habits, interests, and social features
for the simulation and evaluation of various scenarios. Several research
challenges concerning human mobility in OppNets have been explored in the
literature recently. In this paper, we present a thorough survey of human
mobility issues in three main groups (1) mobility characteristics, (2) mobility
models and traces, and (3) mobility prediction techniques. Firstly, spatial,
temporal, and connectivity properties of human motion are explored. Secondly,
real mobility traces which have been captured using Bluetooth/Wi-Fi
technologies or location-based social networks are summarized. Furthermore,
simulation-based mobility models are categorized and state-of-the art articles
in each category are highlighted. Thirdly, new human mobility prediction
techniques which aim to forecast the three aspects of human mobility, i.e.,
users' next walks, stay duration and contact opportunities are studied
comparatively. To conclude, some major open issues are outlined.Comment: 18 pages, 1 figur