70761 20200221144304.0 doi 10.1155/2016/2596783 sideral 105976 ART-2016-105976 eng Calafate, C.T. Crowdsensing and Vehicle-Based Sensing 2016 Access copy available to the general public Unrestricted Improvements in terms of smart device capabilities and of communication technologies allowed crowdsensing solutions to emerge as a powerful strategy to revolutionize environment sensing, becoming one of the key elements of future smart cities. In particular, smartphones, smartwatches, and other personal gadgets are now endowed not only with significant computing power and different wireless interfaces, but also with an increasing number of sensors able to provide useful information about the user environment, especially when the user is moving around a city. If vehicular mobility is adopted, the sensing capabilities can be further increased by connecting smart devices to vehicles using the On Board Diagnostic Interface (OBD-II) or provided directly by smart vehicles through vehicle-to-vehicle (V2V) or vehicle-to-infrastructure (V2I) communications. In the future, with the gradual introduction of autonomous vehicles and unmanned aerial vehicles, many more sensing alternatives are expected.... info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 0.849 2016 TELECOMMUNICATIONS 79 / 89 = 0.888 2016 Q4 T3 COMPUTER SCIENCE, INFORMATION SYSTEMS 121 / 146 = 0.829 2016 Q4 T3 0.207 2016 Computer Networks and Communications 2016 Q3 Computer Science Applications 2016 Q4 info:eu-repo/semantics/other info:eu-repo/semantics/publishedVersion Wu, C. Natalizio, E. (orcid)0000-0001-6945-7330 Martinez, F.J. Universidad de Zaragoza 5007 035 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Arquit.Tecnología Comput. 2016, 2596783 (2016), [2 pp] Mobile Information Systems Mobile Information Systems 1574-017X 1468395 http://zaguan.unizar.es/record/70761/files/texto_completo.pdf Versión publicada 106052 http://zaguan.unizar.es/record/70761/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:70761 articulos driver 2020-02-21-13:33:59 ARTICLE