Deploying public surface transit to forward messages in DTN

Delay Tolerant Network (DTN) is a communication architecture enabling connectivity in a topology with unregular end-to-end network connection. DTN enables communication in environments with cross-connectivity, large delays and delivery time variations, and a high error rate. DTN can be used in vehicular networks where public transport get involved. This research aims to analyze the role of public transit as a DTN routing infrastructure. The impact of using public transit as a relay router is investigated by referencing the network performance, defined by its delivery ratio, average delay and overhead. The results show that public transit can be used as a backbone for DTN in an urban scenario using existing protocols. This opens insights for future researches on routing algorithm and protocol design

An Overview of QoS Enhancements for Wireless Vehicular Networks

Vehicular ad hoc networks (VANETs) allow vehicles to form a self-organized network without the need for permanent infrastructure. Even though VANETs are mobile ad hoc networks (MANETs), because of the intrinsic characteristics of VANETs, several protocols designed for MANETs cannot be directly applied for VANETs. With high number of nodes and mobility, ensuring the Quality of Service (QoS) in VANET is a challenging task. QoS is essential to improve the communication efficiency in vehicular networks. Thus a study of QoS in VANET is useful as a fundamental for constructing an effective vehicular network. In this paper, we present a timeline of the development of the existing protocols for VANETs that try to support QoS. Moreover, we classify and characterize the existing QoS protocols for VANETs in a layered perspective. The review helps in understanding the strengths and weaknesses of the existing QoS protocols and also throws light on open issues that remain to be addressed. Keywords: QoS, VANET, Inter-Vehicle Communications, MAC, Routin

An Intelligent Transportation System Application for Smartphones Based on Vehicle Position Advertising and Route Sharing in Vehicular Ad-Hoc Networks

[EN] Alerting drivers about incoming emergency vehicles and their routes can greatly improve their travel times in congested cities, while reducing the risk of accidents due to distractions. This paper contributes to this goal by proposing Messiah, an Android application capable of informing regular vehicles about incoming emergency vehicles like ambulances, police cars and fire brigades. This is made possible by creating a network of vehicles capable of directly communicating between them. The user can, therefore, take driving decisions in a timely manner by considering incoming alerts. Using the support of our GRCBox hardware, the application can rely on vehicular ad-hoc network communications in the 5 GHz band, being V2V (vehicle-to-vehicle) communication provided through a combination of Android-based smartphone and our GRCBox device. The application was tested in three different scenarios with different levels of obstruction, showing that it is capable of providing alerts up to 300 meters, and notifying vehicles within less than one secondThis work was partially supported by the "Ministerio de Economia y Competividad, Programa Estatal de Investigacion, Desarollo e Innovacion Orientada a los Retos de la Sociedad, Proyectos I+D+I 2014", Spain, under Grant Nos. TEC2014-52690-R and BES-2015-075988.Hadiwardoyo, SA.; Patra, S.; Tavares De Araujo Cesariny Calafate, CM.; Cano, J.; Manzoni, P. (2018). An Intelligent Transportation System Application for Smartphones Based on Vehicle Position Advertising and Route Sharing in Vehicular Ad-Hoc Networks. Journal of Computer Science and Technology. 33(2):249-262. https://doi.org/10.1007/s11390-018-1817-4S249262332Papadimitratos P, De La Fortelle A, Evenssen K, Brignolo R, Cosenza S. 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IEEE Pervasive Computing, 2008, 7(4): 12-18.Hadiwardoyo S A, Patra S, Calafate C T, Cano J C, Manzoni P. An Android ITS driving safety application based on vehicle-to-vehicle (V2V) communications. In Proc. the 26th Int. Conf. Computer Communication and Networks, July 31-August 3, 2017.Eriksson J, Balakrishnan H, Madden S. Cabernet: Vehicular content delivery using WiFi. In Proc. the 14th ACM Int. Conf. Mobile Computing and Networking, September 2008, pp.199-210.Gerla M, Weng J T, Giordano E, Pau G. Vehicular testbeds-validating models and protocols before large scale deployment. In Proc. Int. Conf. Computing Networking and Communications, January 30-February 2, 2012, pp.665-669.Wahlström J, Skog I, Händel P. Smartphone-based vehicle telematics: A ten-year anniversary. IEEE Trans. Intelligent Transportation Systems, 2017, 18(10): 2802-2825.Whipple J, Arensman W, Boler M S. A public safety application of GPS-enabled smartphones and the Android operating system. In Proc. IEEE Int. Conf. Systems Man and Cybernetics, October 2009, pp.2059-2061.Meseguer J E, Calafate C T, Cano J C, Manzoni P. DrivingStyles: A smartphone application to assess driver behavior. In Proc. IEEE Symp. Computers and Communications, July 2013, pp.000535-000540.You C W, Lane N D, Chen F L, Wang R, Chen Z Y, Bao T J, Montes-De-Oca M, Cheng Y T, Lin M, Torresani L, Campbell A T. CarSafe app: Alerting drowsy and distracted drivers using dual cameras on smartphones. In Proc. the 11th Annual Int. Conf. Mobile Systems Applications and Services, June 2013, pp.461-462.Patra S, Arnanz J H, Calafate C T, Cano J C, Manzoni P. EYES: A novel overtaking assistance system for vehicular networks. In Proc. the 14th Int. Conf. Ad-Hoc Networks and Wireless, June 2015, pp.375-389.Togneri M C, Deriaz M. On-board navigation system for smartphones. In Proc. Int. Conf. Indoor Positioning and Indoor Navigation, October 2013.Dancu A, Franjcic Z, Fjeld M. Smart flashlight: Map navigation using a bike-mounted projector. In Proc. the SIGCHI Conf. Human Factors in Computing Systems, April 2014, pp.3627-3630.Yamabe T, Ikegami S, Ishizaki A, Kitagami S, Kiyohara R. Car navigation user interface based on a smartphone. In Proc. the 7th Int. Conf. Mobile Computing and Ubiquitous Networking, January 2014, pp.85-86.Matsuyama S, Yamabe T, Takahashi N, Kiyohara R. Intelligent user interface of smartphones for on-vehicle information devices. Procedia Computer Science, 2014, 35: 1635-1643.Kovacevic B, Kovacevic M, Maruna T, Papp I. A java application programming interface for in-vehicle infotainment devices. IEEE Trans. Consumer Electronics, 2017, 63(1): 68-76.Liu R L, Liu H Z, Kwak D, Xiang Y, Borcea C, Nath B, Iftode L. Themis: A participatory navigation system for balanced traffic routing. In Proc. IEEE Vehicular Networking Conf., December 2014, pp.159-166.Liu R L, Liu H Z, Kwak D, Xiang Y, Borcea C, Nath B, Iftode L. Balanced traffic routing: Design, implementation, and evaluation. 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UAV Mobility model for dynamic UAV-to-car communications in 3D environments

[EN] In scenarios where there is a lack of reliable infrastructures to support car-to-car communications, Unmanned Aerial Vehicles (UAVs) can be deployed as mobile infrastructures. However, the UAVs should be deployed at adequate location and heights to maintain the coverage throughout time as the irregularities of the terrain may have a significant impact on the radio signals sent to distribute information. So, flight altitude and location should be constantly adjusted in order to avoid hilly or mountainous terrains that might hinder the Line-of-Sight (LOS). In this paper, we propose a three-dimensional mobility model to define the movement of the UAV so as to maintain good coverage levels in terms of communications with moving ground vehicles by taking into account the elevation information of the Earth's surface and the signal power towards the different vehicles. The results showed that our proposed model is able to extend the times with connectivity between the UAV and the cars compared to a simpler two-dimensional model, which never considers the altitude, and a static model, which maintains the same UAV position from the beginning to the end of the experiment.This work was partially supported by the "Ministerio de Ciencia, Innovacion y Universidades, Programa Estatal de Investigacion, Desarrollo e Innovacion Orientada a los Retos de la Sociedad, Proyectos I+D+I 2018", Spain, under Grant RTI2018-096384-B-I00, grant BES-2015-075988, Ayudas para contratos predoctorales 2015 and the Erasmus+ practicas grant.Hadiwardoyo, SA.; Dricot, J.; Tavares De Araujo Cesariny Calafate, CM.; Cano, J.; Hernández-Orallo, E.; Manzoni, P. (2020). UAV Mobility model for dynamic UAV-to-car communications in 3D environments. Ad Hoc Networks. 107:1-9. https://doi.org/10.1016/j.adhoc.2020.102193S19107Gupta, L., Jain, R., & Vaszkun, G. (2016). Survey of Important Issues in UAV Communication Networks. IEEE Communications Surveys & Tutorials, 18(2), 1123-1152. doi:10.1109/comst.2015.2495297Zhou, Y., Cheng, N., Lu, N., & Shen, X. S. (2015). Multi-UAV-Aided Networks: Aerial-Ground Cooperative Vehicular Networking Architecture. IEEE Vehicular Technology Magazine, 10(4), 36-44. doi:10.1109/mvt.2015.2481560Hadiwardoyo, S. A., Hernández-Orallo, E., Calafate, C. T., Cano, J. C., & Manzoni, P. (2018). Experimental characterization of UAV-to-car communications. Computer Networks, 136, 105-118. doi:10.1016/j.comnet.2018.03.002Oubbati, O. S., Lakas, A., Zhou, F., Güneş, M., Lagraa, N., & Yagoubi, M. B. (2017). Intelligent UAV-assisted routing protocol for urban VANETs. Computer Communications, 107, 93-111. doi:10.1016/j.comcom.2017.04.001Bujari, A., Calafate, C. T., Cano, J.-C., Manzoni, P., Palazzi, C. E., & Ronzani, D. (2017). Flying ad-hoc network application scenarios and mobility models. 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