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论文类型：期刊论文

发表时间：2014-06-01

发表刊物：JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

收录刊物：SCIE、EI、Scopus

卷号：42

期号：,SI

页面范围：45-58

ISSN号：1084-8045

关键字：Opportunistic networks; Human mobility characteristics; Real traces; Simulation-based models; Mobility prediction

摘要：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. (C) 2014 Elsevier Ltd. All rights reserved.