Abstract
Social aspects of connectivity and information dispersion are often ignored while weighing the potential of Internet of Things (IoT). Assuming a more commonly acceptable standardization of Big Data generated by Internet of Vehicles (IoV), the social dimensions enabling its fruitful usage; emerging as Social IoV (SIoV); remains a challenge. In this paper, an agent-based model of information sharing (for context-based recommendations) of a hypothetical population of smart vehicles is presented. Some important hypotheses are tested under reasonable connectivity and data constraints. The simulation results reveal that closure of social ties and its timing impacts dispersion of novel information (necessary for a recommender system) substantially. It is also observed that as the network evolves as a result of incremental interactions, recommendations guaranteeing a fair distribution of vehicles across equally good competitors is not possible.
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Abbani, N., Jomaa, M., Tarhini, T., Artail, H., El-Hajj, W.: Managing social networks in vehicular networks using trust rules. In: 2011 IEEE Symposium on Wireless Technology and Applications (ISWTA), pp. 168–173. IEEE (2011)
Alam, K.M., Saini, M., El Saddik, A.: Toward social internet of vehicles: concept, architecture, and applications. IEEE Access 3, 343–357 (2015)
Bakıcı, T., Almirall, E., Wareham, J.: A smart city initiative: the case of Barcelona. J. Knowl. Econ. 4(2), 135–148 (2013)
Bao, J., Zheng, Y., Wilkie, D., Mokbel, M.: Recommendations in location-based social networks: a survey. GeoInformatica 19(3), 525–565 (2015)
Cunha, F., Villas, L., Boukerche, A., Maia, G., Viana, A., Mini, R.A., Loureiro, A.A.: Data communication in VANETs: protocols, applications and challenges. Ad Hoc Netw. 44, 90–103 (2016)
Dandala, T., Krishnamurthy, V., Alwan, R.: Internet of Vehicles (IoV) for traffic management. In: 2017 International Conference on Computer, Communication and Signal Processing (ICCCSP), pp. 1–4. IEEE (2017)
Easley, D., Kleinberg, J.: Networks, Crowds, and Markets: Reasoning About a Highly Connected World. Cambridge University Press, Cambridge (2010)
Evans, D.: The Internet of Things: how the next evolution of the internet is changing everything. CISCO White Paper 1(2011), 1–11 (2011)
Fagnant, D.J., Kockelman, K.M.: The travel and environmental implications of shared autonomous vehicles, using agent-based model scenarios. Transp. Res. Part C: Emerg. Technol. 40, 1–13 (2014)
Fangchun, Y., Shangguang, W., Jinglin, L., Zhihan, L., Qibo, S.: An overview of internet of vehicles. China Commun. 11(10), 1–15 (2014)
Neirotti, P., De Marco, A., Cagliano, A.C., Mangano, G., Scorrano, F.: Current trends in smart city initiatives: some stylised facts. Cities 38, 25–36 (2014)
Park, E., Kim, K.J.: Driver acceptance of car navigation systems: integration of locational accuracy, processing speed, and service and display quality with technology acceptance model. Pers. Ubiquit. Comput. 18(3), 503–513 (2014)
Tisue, S., Wilensky, U.: NetLogo: a simple environment for modeling complexity. In: International conference on complex systems, Boston, MA, vol. 21, pp. 16–21 (2004)
Wortmann, F., Flüchter, K.: Internet of Things. Bus. Inf. Syst. Eng. 57(3), 221–224 (2015)
Zhang, M., Wo, T., Xie, T., Lin, X., Liu, Y.: CarStream: an industrial system of big data processing for internet-of-vehicles. Proc. VLDB Endow. 10(12), 1766–1777 (2017)
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Zia, K., Muhammad, A., Saini, D.K., Ferscha, A. (2018). Agent-Based Model of Smart Social Networking-Driven Recommendations System for Internet of Vehicles. In: Demazeau, Y., An, B., Bajo, J., Fernández-Caballero, A. (eds) Advances in Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection. PAAMS 2018. Lecture Notes in Computer Science(), vol 10978. Springer, Cham. https://doi.org/10.1007/978-3-319-94580-4_22
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