Scale-Free Properties of Human Mobility and Applications to Intelligent Transportation Systems
Characterizing and modeling node mobility is of critical importance in building intelligent transportation systems and their applications. In this paper, we discuss the scale-free properties of some important human mobility characteristics, namely spatial node density and mobility degree, and show t...
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| Veröffentlicht in: | IEEE transactions on intelligent transportation systems 2018-11, Vol.19 (11), p.3736-3748 |
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| container_title | IEEE transactions on intelligent transportation systems |
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| creator | Ferreira, Danielle L. Nunes, Bruno Astuto A. Obraczka, Katia |
| description | Characterizing and modeling node mobility is of critical importance in building intelligent transportation systems and their applications. In this paper, we discuss the scale-free properties of some important human mobility characteristics, namely spatial node density and mobility degree, and show that they exhibit behavior that can be described by a power-law. Based on their power-law characteristics, we derive analytical models for the spatial node density and mobility degree and show that the data generated by the proposed analytical models closely approach the empirical data extracted from the real mobility traces. Another contribution of our work is to use the proposed analytical models to build a synthetic mobility regime that is suitable for simulations of intelligent transportation systems. Finally, through network simulations, we show that the ad-hoc network routing behavior under our mobility regime closely approximates routing behavior when the corresponding real trace is used. |
| doi_str_mv | 10.1109/TITS.2018.2866970 |
| format | Article |
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In this paper, we discuss the scale-free properties of some important human mobility characteristics, namely spatial node density and mobility degree, and show that they exhibit behavior that can be described by a power-law. Based on their power-law characteristics, we derive analytical models for the spatial node density and mobility degree and show that the data generated by the proposed analytical models closely approach the empirical data extracted from the real mobility traces. Another contribution of our work is to use the proposed analytical models to build a synthetic mobility regime that is suitable for simulations of intelligent transportation systems. 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Finally, through network simulations, we show that the ad-hoc network routing behavior under our mobility regime closely approximates routing behavior when the corresponding real trace is used.</description><subject>Ad hoc networks</subject><subject>Analytical models</subject><subject>Computational modeling</subject><subject>Computer networks</subject><subject>Computer simulation</subject><subject>Data mining</subject><subject>Density</subject><subject>Empirical analysis</subject><subject>Global Positioning System</subject><subject>Intelligent transportation systems</subject><subject>Mathematical analysis</subject><subject>mobile ad hoc networks</subject><subject>mobile applications</subject><subject>mobile nodes</subject><subject>Nodes</subject><subject>Power law</subject><subject>Routing</subject><subject>vehicular ad hoc networks</subject><subject>Wireless LAN</subject><subject>wireless networks</subject><issn>1524-9050</issn><issn>1558-0016</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kF1LwzAUhoMoOKc_QLwJeN2ZjzZtLsdwHzBRWL01JO2pZHRNTbKL_XtbN7x6z8f7ngMPQo-UzCgl8qXclLsZI7SYsUIImZMrNKFZViSEUHE91ixNJMnILboLYT9M04zSCfraVbqFZOkB8Id3PfhoIWDX4PXxoDv85oxtbTxh3dV43vetrXS0rgs4OrzpIrSt_YYu4tLrLvTOx7813p1ChEO4RzeNbgM8XHSKPpev5WKdbN9Xm8V8m1Sci5hUjIEGU1c0ByHS2vBCSmLyvDa5SDmpap42nGcmG0XSxqRESC6B6aED4FP0fL7be_dzhBDV3h19N7xUjHJGRJEXfHDRs6vyLgQPjeq9PWh_UpSoEaMaMaoRo7pgHDJP54wFgH9_keaSC8J_AaOHb0Y</recordid><startdate>20181101</startdate><enddate>20181101</enddate><creator>Ferreira, Danielle L.</creator><creator>Nunes, Bruno Astuto A.</creator><creator>Obraczka, Katia</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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| subjects | Ad hoc networks Analytical models Computational modeling Computer networks Computer simulation Data mining Density Empirical analysis Global Positioning System Intelligent transportation systems Mathematical analysis mobile ad hoc networks mobile applications mobile nodes Nodes Power law Routing vehicular ad hoc networks Wireless LAN wireless networks |
| title | Scale-Free Properties of Human Mobility and Applications to Intelligent Transportation Systems |
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