Abstract
The internet of things allows to have the comfort of these users. The number of connected objects is increasing exponentially. There is therefore a risk of degrading the quality of comfort by the communication phenomena that are due to interference phenomena. Autonomous connected vehicles are a special case of internet of thing. As autonomous vehicles are sensitive to the time parameter. Therefore, interference degrades the performance of autonomous driving systems. In this paper, we present a Platoons architecture to reduce the interference throughout the traffic.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Gruyer, D., Magnier, V., Hamdi, K., Claussmann, L., Orfila, O., Rakotonirainy, A.: Perception, information processing and modeling: critical stages for autonomous driving applications. Annu. Rev. Control.. Rev. Control. 44, 10 (2017)
Kwon, J.-W., Chwa, D.: Adaptive bidirectional platoon control using a coupled sliding mode control method. Intell. Transp. Syst. IEEE Trans. 15, 2040–2048 (2014)
Behere, S., Torngren, M., Chen, D.-J.: A reference architecture for cooperative driving. J. Syst. Architect. 59(10), 1095–1112 (2013)
Nunen, E., Koch, R., Elshof, L., Krosse, B.: Sensor safety for the European truck platooning challenge. 11 (2016)
Vanholme, B., Gruyer, D., Lusetti, B., Glaser, S., Mammar, S.: Highly automated driving on highways based on legal safety. IEEE Trans. Intell. Transp. Syst.Intell. Transp. Syst. 14(1), 333–347 (2013)
Jiao, J.: Machine learning assisted high-definition map creation. In: 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC), vol. 1, pp. 367–373 . IEEE (2018)
Massow, K., et al.: Deriving HD maps for highly automated driving from vehicular probe data. In: 2016 IEEE 19th International Conference on Intel-ligent Transportation Systems (ITSC), pp. 1745–1752. IEEE (2016)
Dabeer, W. et al.: An end-to-end system for crowdsourced 3D maps for autonomous vehicles: The mapping component. In: 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 634–641. IEEE (2017)
Naus, G., Vugts, R., Ploeg, J., van de Molengraft, R., Steinbuch, M.: Cooperative adaptive cruise control, design and experiments. In: Proceedings of the 2010 American Control Conference, pp. 6145–6150 (2010)
Boubakri, A., Mettali Gammar, S.: Intra-platoon communication in autonomous vehicle: a survey. In: 2020 9th IFIP International Conference on Performance Evaluation and Modeling in Wireless Networks (PEMWN), pp. 1–6 (2020)
IEEE 802.11p part11: Wireless LAN medium access control (mac) and physical layer (phy) specifications: Amendment 7: Wireless access in vehicular environment, july (2010)
Ucar, S., Ergen, S.C.: Ozkasap, O.: Security vulnerabilities of ieee 802.11p andvisible light communication based platoon. In: 2016 IEEE Vehicular Networking Conference (VNC), pp. 1–4 (2016)
Eckermann, F., Kahlert, M., Wietfeld, C.: Performance analysis of c-v2x mode 4 communication introducing an open-source c-v2x simulator. In: 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall), pp. 1–5. IEEE (2019)
Liu, Y., Yao, D., Li, H., Lu, R.: Distributed cooperative compound tracking control for a platoon of vehicles with adaptive NN. IEEE Trans. Cybern. 52, 7039–7048 (2021)
Boubakri, A., Gammar, S.M.: Speed control for autonomous vehicular in platoon. In: Barolli, L., Woungang, I., Enokido, T. (eds.) Advanced Information Networking and Applications: Proceedings of the 35th International Conference on Advanced Information Networking and Applications (AINA-2021), Volume 3, pp. 395–405. Springer International Publishing, Cham (2021). https://doi.org/10.1007/978-3-030-75078-7_40
Boubakri, A., Gammar, S.M.: Cooperative driving system based on artificial intelligence learning. In: 2021 International Wireless Communications and Mobile Computing (IWCMC), pp. 615–620. IEEE (2021)
Hong, C., et al.: A joint design of platoon communication and control based on lte-v2v. IEEE Trans. Veh. Technol., 1 (2020)
Leng, B., Gu, X., Zhang, L., Zhang, L.: Modeling and analysis of inter-platoon communication with stochastic geometry. In: 2019 22nd International Symposium on Wireless Personal Multimedia Communications (WPMC), pp. 1–5 (2019)
Lipovetsky, S., Conklin, M.: Analysis of regression in game theory approach. Appl. Stoch. Model. Bus. Ind.Stoch. Model. Bus. Ind. 17(4), 319–330 (2001)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Boubakri, A., Boujezza, H. (2024). New Strategy to Reduce Communication Interference of Platoon. In: Barolli, L. (eds) Advanced Information Networking and Applications. AINA 2024. Lecture Notes on Data Engineering and Communications Technologies, vol 199. Springer, Cham. https://doi.org/10.1007/978-3-031-57840-3_19
Download citation
DOI: https://doi.org/10.1007/978-3-031-57840-3_19
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-57839-7
Online ISBN: 978-3-031-57840-3
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)