Abstract
VANET constitutes a huge research area due to its potential in traffic management and road safety. In this paper, we propose a novel, smart, and compact representation of vehicular networks. Starting from the standard graph representation, we extract a signal assigning a congestion factor to each vehicle, so that highly jammed traffic areas can be immediately detected by identifying the highest peaks of the wave. The way the signal is built provides useful information about vehicles distribution throughout the network, producing as result a simple but very meaningful wave characterizing the corresponding VANET.
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Statista: IoT connected devices installed base worldwide from 2015 to 2025. www.statista.com/statistics/471264/iot-number-of-connected-devices-worldwide/
Statista: Most popular mapping apps in the U.S. 2018, by audience. www.statista.com/statistics/865413/most-popular-us-mapping-apps-ranked-by-audience/
Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., Cayirci, E.: Wireless sensor networks: a survey. Comput. Netw. 38(4), 393–422 (2002)
Al-Sultan, S., Al-Doori, M., Al-Bayatti, A., Zedan, H.: A comprehensive survey on vehicular ad hoc network. J. Netw. Comput. Appl. 37, 380–392 (2014)
Balzano, W., Barbieri, V., Riccardi, G.: Smart priority park framework based on DDGP3. In: WAINA 2018. IEEE (2018)
Balzano, W., Murano, A., Stranieri, S.: Logic-based clustering approach for management and improvement of VANETs. J. High Speed Netw. 23(3), 225–236 (2017)
Balzano, W., Murano, A., Vitale, F.: V2V-EN–vehicle-2-vehicle elastic network. Procedia Comput. Sci. 98, 497–502 (2016)
Balzano, W., Murano, A., Vitale, F.: WiFACT–wireless fingerprinting automated continuous training. In: Proceedings of WAINA 2016. IEEE Computer Society (2016)
Balzano, W., Murano, A., Vitale, F.: EENET: energy efficient detection of network changes using a wireless sensor network. In: Proceedings of CISIS 2017. Springer (2017)
Balzano, W., Murano, A., Vitale, F.: Hypaco–a new model for hybrid paths compression of geodetic tracks. Int. J. Grid Util. Comput. (2017)
Balzano, W., Murano, A., Vitale, F.: SNOT-WiFi: sensor network-optimized training for wireless fingerprinting. J. High Speed Netw. 24(1), 79–87 (2018)
Balzano, W., Del Sorbo, M.R., Murano, A., Stranieri, S.: A logic-based clustering approach for cooperative traffic control systems. In: Proceedings of 3PGCIC 2016. Springer (2016)
Balzano, W., Del Sorbo, M.R., Stranieri, S.: A logic framework for C2C network management. In: Proceedings of WAINA 2016. IEEE Computer Society (2016)
Balzano, W., Vitale, F.: DiG-Park: a smart parking availability searching method using V2V/V2I and DGP-class problem. In: Proceedings of WAINA 2017. IEEE Computer Society (2017)
Boukerche, A., Oliveira, H., Nakamura, E.F., Loureiro, A.: Vehicular ad hoc networks: a new challenge for localization-based systems. Comput. Commun. 31(12), 2838–2849 (2008)
Cunha, F., Villas, L., Boukerche, A., Maia, G., Viana, A., Mini, R., Loureiro, A.: Data communication in VANETs: protocols, applications and challenges. Ad Hoc Netw. 44, 90–103 (2016)
Li, F., Wang, Y.: Routing in vehicular ad hoc networks: a survey. IEEE Veh. Technol. Mag. 2(2), 12–22 (2007)
Lochert, C., Hartenstein, H., Tian, J., Fussler, H., Hermann, D., Mauve, M.: A routing strategy for vehicular ad hoc networks in city environments. In: Intelligent Vehicles Symposium. IEEE (2003)
Naumov, V., Gross, T.R.: Connectivity-Aware Routing (CAR) in vehicular ad-hoc networks. In: Proceedings of INFOCOM 2007. IEEE (2007)
Parameswaran, A.T., Husain, M.I., Upadhyaya, S., et al.: Is RSSI a reliable parameter in sensor localization algorithms: an experimental study. In: Proceedings of F2DA 2009. IEEE (2009)
Raghavendra, C.S., Sivalingam, K.M., Znati, T.: Wireless Sensor Networks. Springer, London (2006)
Saha, A.K., Johnson, D.B.: Modeling mobility for vehicular ad hoc networks. In: Proceedings of VANET 2004. ACM (2004)
Singh, A., Kumar, M., Rishi, R., Madan, D.K.: A relative study of MANET and VANET: its applications, broadcasting approaches and challenging issues. In: Proceedings of CCSIT 2011. Springer (2011)
Vodopivec, S., Bešter, J., Kos, A.: A survey on clustering algorithms for vehicular ad-hoc networks. In: Proceedings of TSP 2012. IEEE (2012)
Zeadally, S., Hunt, R., Chen, Y., Irwin, A., Hassan, A.: Vehicular Ad Hoc Networks (VANETs): status, results, and challenges. Telecommun. Syst. 50(4), 217–241 (2012)
Zhang, Z., Boukerche, A., Pazzi, R.: A novel multi-hop clustering scheme for vehicular ad-hoc networks. In: Proceedings of MOBIWAC 2011. ACM (2011)
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Balzano, W., Murano, A., Sorrentino, L., Stranieri, S. (2019). A Smart Compact Traffic Network Vision Based on Wave Representation. In: Barolli, L., Takizawa, M., Xhafa, F., Enokido, T. (eds) Web, Artificial Intelligence and Network Applications. WAINA 2019. Advances in Intelligent Systems and Computing, vol 927. Springer, Cham. https://doi.org/10.1007/978-3-030-15035-8_85
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DOI: https://doi.org/10.1007/978-3-030-15035-8_85
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