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Erschienen in:
The Fundamentals and Potential of the Internet of Vehicles (IoV) in Today’s Society Kapitel lesen Erstes Kapitel lesen

2021 | OriginalPaper | Buchkapitel

Intelligent Approaches for Fault-Tolerance in Radio Communication of Autonomous Vehicles

verfasst von : Yazid Benazzouz, Oum-El-Kheir Aktouf, Rachid Boudour, Jerry Gao

Erschienen in: Intelligent Technologies for Internet of Vehicles

Verlag: Springer International Publishing

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Abstract

The development of autonomous vehicles is seen as a solution to many of today’s societal problems such as traffic congestion, road accidents, theft prevention and air pollution. Radio technology offers a great contribution to these developments but continues to suffer from several shortcomings such as security breaches, radio interference, heterogeneity of protocols, vulnerability to climate changes, etc. The impact of these shortcomings is minimal in everyday life but can be very disastrous for autonomous vehicles where the loss of transmission, or misinterpretation of received data, can lead to a global malfunction or even create a domino effect that will spread throughout the entire system. Hence, we need intelligent strategies and methods to ensure fault-tolerance in the communication systems of autonomous vehicles.

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Vorheriges Kapitel The Fundamentals and Potential of the Internet of Vehicles (IoV) in Today’s Society
Nächstes Kapitel AI-Based Traffic Queue Detection for IoV Safety Services in 5G Networks
Fußnoten
Literatur
1.
2.
3.
4.
Wang, J., Liu, J., Kato, N.: Networking and communications in autonomous driving: a survey. IEEE Commun. Surv. Tutor. 21(2), 1243–1274 (2019)CrossRef
5.
Din, I.U., Kim, B.S., Hassan, S., Guizani, M., Atiquzzaman, M., Rodrigues, J.J.P.C.: Information-centric network-based vehicular communications: overview and research opportunities. Sensors 18(11), 3957 (2018)CrossRef
6.
7.
Mchergui, A., Moulahi, T., Alaya, B., Nasri, S.: A survey and comparative study of QoS aware broadcasting techniques in VANET. Telecommun. Syst. 66, 253–281 (2017)CrossRef
8.
Lu, X.Y., Shladover, S.E., Kailas, A., Altan, O.D.: Messages for cooperative adaptive cruise control using V2V communication in real traffic. In: Hu, F. (ed.) Vehicle-to-Vehicle and Vehicle-to-Infrastructure Communications - A Technical Approach, Chapter 8. CRC Press (2018)
9.
Oliveira, R., Montez, C., Boukerche, A., Wangham, M.S.: Reliable data dissemination protocol for VANET traffic safety applications. Ad Hoc Netw. Elsevier Ltd. 63, 30–44 (2017)CrossRef
10.
Silva, C., Nogueira, M., Kim, D., Cerqueira, E., Santos, A.: Cognitive radio based connectivity management for resilient end-to-end communications in VANETs. Comput. Commun. 79, 1–8 (2016)CrossRef
11.
Gurer, D., Ogier, R.G.: An artificial intelligence approach to network fault management. In: 3rd IEEE International Conference on Trends in Electronics and Informatics (ICOEI), pp. 916–920. Tirunelveli, India (1996)
12.
Khalid, A., Umer, T., Afzal, M.K., Anjum, S., Sohail, A., Asif, H.M.: Autonomous data driven surveillance and rectification system using in-vehicle sensors for intelligent transportation systems (ITS). Comput. Netw. 139, 109–118 (2018)CrossRef
13.
Isermann, R.: Fault-Diagnosis Systems. An Introduction from Fault Detection to Fault-Tolerance. Springer-Verlag, Berlin (2006)
14.
Koren, I., Krishna, C.M.: Fault-Tolerant Systems, 2nd edn. Morgan Kaufmann, San Francisco (2021). Copyright Elsevier IncMATH
15.
Cioroaica, E., Chren, S., Aktouf, O.E.K., Larsson, A., Chillarege, R., Kuhn, T., Schneider, D., Wolschke, D.: Towards creation of automated prediction systems for trust and dependability evaluation. In: The 28th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2020) (2020)
16.
Yang, L., Mo, T., Li, H.: Research on V2V communication based on peer to peer network. In: 2018 International Conference on Intelligent Autonomous Systems (ICoIAS), pp. 105–110 (2018)
17.
Dietzel, S., Gürtler, J., Kargl, F.: A resilient in-network aggregation mechanism for VANETs based on dissemination redundancy. Ad Hoc Netw. 37, 101–109 (2016). Special Issue on Advances in Vehicular NetworksCrossRef
18.
Hiraiwa, M., Ishikawa, H., Aizono, T., Sugiyama, K., Shimura, A., Shinonaga, H.: Implementation and evaluation of autonomous decentralized system based mobile communications platform for ITS services. In: The Sixth International Symposium on Autonomous Decentralized Systems, 2003. ISADS 2003, pp. 277–284 (2003)
19.
Saraoglu, M., Hart, F., Morozov, A., Janschek, K.: Fault-tolerant path planning in networked vehicle systems in presence of communication failures. IFAC-PapersOnLine 51(23), 82–87 (2018). 7th IFAC Workshop on Distributed Estimation and Control in Networked Systems NECSYS 2018CrossRef
20.
Bernsen, J., Manivannan, D.: River: a reliable inter-vehicular routing protocol for vehicular ad hoc networks. Comput. Netw. 56(17), 3795–3807 (2012)CrossRef
21.
Stetter, R.: Fault-Tolerant Design and Control of Automated Vehicles and Processes. Springer International Publishing, Cham (2020). Insights for the Synthesis of Intelligent SystemsCrossRef
22.
Alvi, A.B., Hashmi, M.A., Chuhan, Z.H., Atif, M., Ahmed, I.: Adaptive byzantine fault-tolerance support for agent-oriented systems: the BDARX. Int. J. Adv. Appl. Sci. 6(2), 57–64 (2019)CrossRef
23.
Rullo, A., Serra, E., Lobo, J.: Redundancy as a Measure of Fault-Tolerance for the Internet of Things: A Review, vol. 11550, pp. 202–226. Springer International Publishing, Cham (2019)
24.
Gilbert, S., Lynch, N.A., Newport, C., Pajak, D.: On simple back-off in unreliable radio networks. Theor. Comput. Sci. 806, 489–508 (2020)MathSciNetCrossRef
25.
Samyoun, S., Rahman, A., Rab, R.: Design and analysis of a fault-tolerant topology control algorithm for wireless multi-hop networks. In: 5th International Conference on Networking, Systems and Security, NSysS 2018, Dhaka, Bangladesh, 18–20 Dec 2018, pp. 37–45. IEEE (2018)
26.
Yuan, Y., Li, F., Yu, D., Yu, J., Wu, Y.,. Lv, W., Cheng, X.: Fast fault-tolerant sampling via random walk in dynamic networks. In: 2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS), pp. 536–544 (2019)
27.
Emara, S., Elewa, A., Wasil, O., Moustafa, K., Khalek, N.A., Soliman, A.H., Halawa, H., ElSalamouny, M., Daoud, R., Amer, H., Khattab, A., ElSayed, H., Refaat, T.: Heterogeneous ITS architecture for manned and unmanned cars in suburban areas. In: 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA), vol. 1, pp. 918–925 (2018)
28.
Oubbati, O.S., Lakas, A., Zhou, F., Güneş, M., Lagraa, N., Yagoubi, M.B.: Intelligent UAV-assisted routing protocol for urban VANETs. Comput. Commun. 107, 93–111 (2017)CrossRef
29.
Addis, T.: Natural and Artificial Reasoning. Springer International Publishing, Berlin (2014)CrossRef
30.
Takahashi, R.: Automobile troubleshooting expert system “ATREX”. Future Gener. Comput. Syst. 5(1), 97–101 (1989)CrossRef
31.
Gelgele, H.L., Wang, K.: An expert system for engine fault diagnosis: development and application. J. Intell. Manuf. 9(6), 539–545 (1998)CrossRef
32.
Monedero, I., Martín, A., Elena, J., Guerrero, J., Biscarri, F., León, C.: A practical overview of expert systems in telecommunication networks, medicine and power supplies. In: Reiter, A.C., Segura, J.M. (eds.) Expert System Software: Engineering, Advantages and Applications, pp. 178–210. Nova Science Publishers Inc. (Mar 2012)
33.
Hinchey, M.: Toward Artificial Intelligence through Knowledge Representation for Awareness, pp. 121–138. Wiley-IEEE Press (2018)
34.
Bastani, F.B., Chen, I.-R.: The role of artificial intelligence in fault-tolerant process-control systems. In: Proceedings of the 1st International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems - Volume 2, IEA/AIE 1988, pp. 1049–1058, New York, NY, USA (1988). Association for Computing Machinery
35.
Zadeh, L.A.: Recent Developments in Fuzzy Logic and Fuzzy Sets, vol. 391. Springer International Publishing, Berlin (2020)
36.
Soliman, A., Rizzoni, G., Kim, Y.W.: Diagnosis of automotive emission control system using fuzzy inference. IFAC Proc. Vol., 30(18), 715–720 (1997). IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS 97), Kingston upon Hull, UK (Aug 1997)
37.
38.
Budiharto, W.: The development of an expert car failure diagnosis system with Bayesian approach. J. Comput. Sci. 9(10), 1383–1388 (2013)CrossRef
39.
Vargas-Martínez, A., Garza-Castañón, L.: Combining artificial intelligence and advanced techniques in fault-tolerant control. J. Appl. Res. Tech. 9, 202–226 (2011)CrossRef
40.
Michail, K., Deliparaschos, K.M., Tzafestas, S.G., Zolotas, A.C.: AI-based actuator/sensor fault detection with low computational cost for industrial applications. IEEE Trans. Control Syst. Tech. 24(1), 293–301 (2016)CrossRef
41.
Garza-Castañón, L., Vargas-Martínez, A.: Artificial intelligence methods in fault-tolerant control. In: Rodic, A. (ed.) Automation Control - Theory and Practice, Chapter 15. Institute Mihajlo Pupin, Serbia (Dec 2009)
42.
Russell, S., Norvig, P.: Artificial Intelligence: A Modern Approach, 3rd edn. Prentice Hall, Hoboken (2010)MATH
Metadaten
Titel
Intelligent Approaches for Fault-Tolerance in Radio Communication of Autonomous Vehicles
verfasst von
Yazid Benazzouz
Oum-El-Kheir Aktouf
Rachid Boudour
Jerry Gao
Copyright-Jahr
2021
Buch
Intelligent Technologies for Internet of Vehicles

Print ISBN: 978-3-030-76492-0

Electronic ISBN: 978-3-030-76493-7

Copyright-Jahr: 2021

DOI
https://doi.org/10.1007/978-3-030-76493-7_2