A social relationship-aware mobility model
Dat Van Anh Duong, Seokhoon Yoon · 2018
The human movement pattern is important for validating the performance of IoT services and wireless networks. Since collection of human movements in a real life requires a high cost and is not feasible at a very large scale, a lot of synthetic models of human movements are studied. However, most human mobility models were based on simple ideas and could not reflect realistic human movements. A few human mobility models tried to capture human movement characteristics that flights, inter-contact times (ICTs), and pause-times follow the truncated power-law distributions. Unfortunately, even such models could not fully reflect realistic human movements due to lack of consideration for social relationships among people. To address this limitation, we propose a novel human mobility model, social relationship-aware mobility model (SRMM), which considers the social relationships among people as well as the human movement characteristics. SRMM takes a social graph as an input and forms social user groups. The movements of users are determined taking into consideration users' social group and the distribution of visiting places. The proposed model is compared with a real trace and other mobility models, and the results show that SRMM can reflect both social relationships and human movement characteristics.