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article-T-Comm-6-12-2019

OUTLINE MESSAGE RELAYING MODEL AT THE NETWORK
OF AN AUTOMOBILE SHORT-RANGE COMMUNICATIONS DEVICES

Darya G. Vasilchenkova, VlSU, Vladimor, Russia, darya.vasilchenkova@mail.ru
Andrey S. Golubev, VlSU, Vladimor, Russia, andrey.golubev@vlsu.ru
Mikhail Yu. Zvyagin, VlSU, Vladimor, Russia, muz1953@yandex.ru
Artem N. Zolotov, VlSU, Vladimor, Russia, zolotovan@inbox.ru

 

Abstract
We consider the process of relaying information messages between short-range radio devices (Dedicated Short Range Communications (DSRC) technology) fixed on vehicles. The main distinguishing feature of intelligent transport systems of this type is the ability to provide subscribers with help and assistance infor-mation services on an autonomous basis, i.e. without direct access to global information networks. In this case, we consider the task of retransmission a message from a vehicle that has lost mobility due to an acci-dent or technical malfunction out of range of a mobile operator to one of the nearest base stations or a sta-tionary DSRC-device to inform the emergency service. The goal is to save information traffic without losing the efficiency of message delivery. Proposed algorithm considers the topological and dynamic characteristics of the network, determined by the features of the car traffic in the flow. The principle of its operation is to implement multi-path routing of messages based on the relative position and direction of movement of transit network nodes. Moreover, the algorithm does not use any a priori information about the configuration of the road network and coverage area. For debugging and analysis of the algorithm a computer experiment was built using the capabilities of the traffic simulator Simulation of Urban Mobility (SUMO). Three types of street-road network are considered and a variation of all parameters of the algorithm is implemented. The resulting parameters are estimated that characterize the efficiency, speed of message delivery and the density of communication traffic. The obtained results allow us to state that the algorithm is stable with respect to a change in its parameters and performs the assigned task.

Keywords:short-range communications technology, intelligent transportation systems, message relaying, road traffic, SUMO.

References

1. Federal target program improving road safety in 2013-2020 (2019), “Intelligent transportation sys-tems”, available at: http://www.fcp-pbdd.ru/special_equipment/transport_systems/, (Accessed 5 November 2019).
2. Studentova, E.A. (2015). The role of intelligent transport systems in improving road safety. Izvestiya TulGU. Tekhnicheskie nauki. Vol. 6, part 2, pp. 77-83.
3. Zhankaziev S.V. (2016). Intellektual’nye transportnye sistemy: ucheb. posobie [Intelligent transport systems: tutorial]. MADI, Moscow, Russia.
4. Festag A. (2015). Standards for vehicular communication – from IEEE 802.11p to 5G. Elektrotechnik und Informationstechnik. Vol. 132, pp. 409-416.
5. Evstigneev I.A. (2015). Intellektual’nye transportnye sistemy na avtomobil’nyh dorogah federal’nogo znacheniya Rossii [Intelligent transport systems on the federal highways of Russia]. Pero, Moscow, Russia.
6. Vasil’chenkova D.G., Golubev A.S., Zvyagin and M.Yu., Prokoshev, V.G. (2018). Mathematical modeling and vehicle collision prediction based on short-range wireless communications. Dynamics of Complex Systems – XXI century. Vol. 3, pp. 4-10.
7. Vasil’chenkova D.G., Golubev A.S., Zvyagin and M.Yu., Prokoshev V.G. (2019). Dangerous driving detection model based on short-range communications technology. Vestnik moskovskogo avtomobilno-dorozhnogo gosudarstvennogo tehnicheskogo universiteta (MADI). Vol. 3, pp. 8-14.
8. Shamin, P.Yu. (2008). Multipurpose routing in self-organizing networks with limited mobility. Ph.D. Thesis, Vladimir State University, Vladimir, Russia.
9. Akhtar N., Ozkasap O. and Ergen S.C. (2013). VANET topology characteristics under realistic mobility and channel models. 2013 IEEE Wireless Communications and Networking Conference (WCNC), Shanghai, pp. 1774-1779.
10. SUMO (Simulation of Urban Mobility), available at http://sumo.dlr.de/index.html (Accessed 21 October 2019).

Information about authors:
Darya G. Vasilchenkova, Assistant, Post-Graduate Student of the Department of Functional Analysis and its Applications, VlSU, Vladimir, Russia
Andrey S. Golubev, PhD, Associate Professor of the Department of Physics and Applied Mathematics, VlSU, Vladimir, Russia
Mikhail Yu. Zvyagin, PhD, Associate Professor of the Department of Functional Analysis and its Applications, VlSU, Vladimir, Russia
Artem N. Zolotov, PhD, Associate Professor of the Department of Physics and Applied Mathematics, VlSU, Vladimir, Russia