An Improved Method to Evaluate the Vehicle's Encounter with Events in the VANET with the Approach of Developing Non-Linear Methods
الموضوعات : Majlesi Journal of Telecommunication Devices
farzaneh kaviani baghbadorani
1
(1PhD Candidate, Department of Computer Eng., Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran.)
Mohammadreza Soltanaghaei
2
(گروه کامپیوتر، دانشکده فنی و مهندسی، دانشگاه آزاد اسلامی واحد اصفهان (خوراسگان)، اصفهان، ایران.)
الکلمات المفتاحية: Vehicle Ad Hoc Networks, VANET, Evaluation of Vehicle Encounters with Events, Event ,
ملخص المقالة :
Data exchange between vehicles as network nodes, like other ad-hoc networks, due to the lack of stability infrastructure and central management, and the complete distribution of the network platform, have led to attract many parts of today's researches. In this article, an improved method has been presented in order to evaluate the encounter of the vehicle with the incident, and the interaction of data related to the incidents for use in the vehicle ad-hoc networks. The proposed method has been developed based on the basic indicators of evaluating the node's encounter with events in vehicle ad-hoc networks and has been strengthened based on the advantages and capabilities of fuzzy logic, so that the desired and expected result is obtained from the output of the set. In order to evaluate the performance of the proposed method, developments and implements were based on the OPNET simulator and this method was compared with the VESPA and VESPA-DM methods as the most important researches in this field. The simulation results indicated the superiority of the proposed method over past researches.
[1] Vadivel, Sharmila, et al. "Dynamic route discovery using modified grasshopper optimization algorithm in wireless Ad-Hoc visible light communication network." Electronics 10.10 (2021): 1176.
[2] S Lin, Chia-Hung, et al. "A survey on deep learning-based vehicular communication applications." Journal of Signal Processing Systems 93.4 (2021): 369-388.
[3] Wang, Xiaoyan, et al. "Better platooning toward autonomous driving: Inter-vehicle communications with directional antenna." China Communications 18.7 (2021): 44-57.
[4] T. Delot, N. Cenerario, and S. Ilarri, "Vehicular event sharing with a mobile peer-to-peer architecture," Transportation Research Part C, Vol. 18, pp. 584–598, 2010.
[5] Singh, Pranav Kumar, Sunit Kumar Nandi, and Sukumar Nandi. "A tutorial survey on vehicular communication state of the art, and future research directions." Vehicular Communications 18 (2019): 100164.
[6] Yeferny, Taoufik, and Sofian Hamad. "Vehicular ad-hoc networks: architecture, applications and challenges." arXiv preprint arXiv:2101.04539 (2021).
[7] Sharef, Baraa, et al. "Robust and trust dynamic mobile gateway selection in heterogeneous VANET-UMTS network." Vehicular communications 12 (2018): 75-87.
[8] Tian, Jin, and Fudong Meng. "Comparison Survey of Mobility Models in Vehicular Ad-Hoc Network (VANET)." 2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE). IEEE, 2020.
[9] Andrade, Everaldo, et al. "Analyzing cooperative monitoring and dissemination of critical mobile events by VANETs." Wireless Networks 27.3 (2021): 1981-1997.
[10] Madhuri, K., and B. UmaMaheswari. "Adaptive Steering Control and Driver Alert System for Smart Vehicles." 2019 3rd International Conference on Computing Methodologies and Communication (ICCMC). IEEE, 2019.
[11] Miller, and Ronald, "An adaptive peer-to-peer collision warning system," In: Vehicular Technology Conference, pp. 317-321, 2002.
[12] X. Yang, J. Liu, F. Zhao, and N. Vaidya, "A Vehicle-to-Vehicle Communication Protocol for Cooperative Collision Warning," Mobile and Ubiquitous Systems: Networking and Services, (MOBIQUITOUS), the First Annual International Conference, Vol. 11, pp. 35-43, 2004.
[13] Chehri, Abdellah, et al. "Realistic 5.9 GHz DSRC vehicle-to-vehicle wireless communication protocols for cooperative collision warning in underground mining." Smart Transportation Systems 2020. Springer, Singapore, 2020. 133-141.
[14] X. Shouzhi, H. Zhou, C. Li, and Y. Zhao, “A Multi-Hop V2V Broadcast Protocol for Chain Collision Avoidance on Highways,” Communications Technology and Applications, (ICCTA'09), Vol. 13, pp. 126-135, 2009.
[15] Urmonov, Odilbek, and HyungWon Kim. "A multi-hop data dissemination algorithm for vehicular communication." Computers 9.2 (2020): 25.
[16] T. Nadeem, P. Shankar, and L. Iftode, "A comparative study of data dissemination models for VANETs," In: Third International Conference on Mobile and Ubiquitous Systems (MobiQuitous), pp. 1–10, 2006.
[17] Shahwani, Hamayoun, et al. "A comprehensive survey on data dissemination in Vehicular Ad Hoc Networks." Vehicular Communications (2021): 100420.
[18] B. Xu, A.M. Ouksel, and O.Wolfson, "Opportunistic resource exchange in inter-vehicle ad-hoc networks," In: Fifth International Conference on Mobile Data Management (MDM), pp. 4–12, 2004.
[19] Azimi Kashani, A., M. Ghanbari, and A. M. Rahmani. "Improving performance of opportunistic routing protocol using fuzzy logic for vehicular ad-hoc networks in highways." Journal of AI and Data Minining (2020).
[20] S. Nittel, M. Duckham, and L. Kulik, "Information dissemination in mobile ad-hoc geosensor networks," In: Third International Conference on Geographic Information Science (GIScience), Vol. 3234, pp. 206–222, 2004.
[21] Tomar, Ravi, Hanumat G. Sastry, and Manish Prateek. "A novel protocol for information dissemination in vehicular networks." International Conference on Internet of Vehicles. Springer, Cham, 2019.
[22] Fahad, Muhammad, et al. "Grey wolf optimization based clustering algorithm for vehicular ad-hoc networks." Computers & Electrical Engineering 70 (2018): 853-870.
[23] T. Kosch, C. J. Adler, S. Eichler, C. Schroth, and M. Strassberger, "The scalability problem of vehicular ad hoc networks and how to solve it," IEEE Wireless Communications, pp. 22–28, 2006.
[24] V. Milanés, J. Pérez, J. Godoy, and E. Onieva, "A fuzzy aid rear-end collision warning / avoidance system," Expert Systems with Applications, Vol. 39, pp.9097-9107, 2012.
[25] Basjaruddin, Noor Cholis, Didin Saefudin, and Anggun Pancawati. "Hardware Simulation of Rear-End Collision Avoidance System Based on Fuzzy Logic." Jurnal Rekayasa Elektrika 16.1 (2020).
[26] Rashid, Sami Abduljabbar, et al. "Prediction Based Efficient Multi-hop Clustering Approach with Adaptive Relay Node Selection for VANET." J. Commun. 15.4 (2020): 332-344.
[27] J. S. Li, I. Liu, C. Kao and C. Tseng, "Intelligent Adjustment Forwarding: A compromise between end-to-end and hop-by-hop transmissions in VANET environments," Journal of Systems Architecture, Vol. 59, pp. 1319-1333, 2013.
[28] T. Delot, S. Ilarri, N. Cenerarioa, and T. Hien, "Event sharing in vehicular networks using geographic vectors and maps," Mobile Information Systems, Vol. 7, pp. 21-44, 2011.
[29] K. N. Qureshi, A. H. Abdullah, and J. Lloret, "Road Perception Based Geographical Routing Protocol for Vehicular Ad Hoc Networks," International Journal of Distributed Sensor Networks, Vol. 5, pp. 1-17, 2016.
[30] Qureshi, Kashif Naseer, et al. "Improved road segment-based geographical routing protocol for vehicular ad-hoc networks." Electronics 9.8 (2020): 1248.
[31] Gazdar T. , Alboqomi O. , et al. (2022). "A Decentralized Blockchain-Based Trust Management Framework for Vehicular Ad Hoc Networks", [2624-6511], 5(1):348-363.
[32] Gayathri, M and C Gomathy. "Ai-Tasfis: An Approach to Secure Vehicle-to-Vehicle Communication." Applied Artificial Intelligence, vol. 36, no. 1, 2022, p. 2145636.
[33] Nagpal, Shally et al. "Privacy and Security Issues in Vehicular Ad Hoc Networks with Preventive Mechanisms." Proceedings of International Conference on Intelligent Cyber-Physical Systems: ICPS 2021, Springer, 2022, pp. 317-329.
[34] Silva, Luis Guilherme et al. "Urban Advanced Mobility Dependability: A Model-Based Quantification on Vehicular Ad Hoc Networks with Virtual Machine Migration." Sensors, vol. 23, no. 23, 2023, p. 9485.
[35] Valentini, Edivaldo Pastori et al. "A Novel Mechanism for Misbehaviour Detection in Vehicular Networks." IEEE Access, 2023.
[36] Sharan, Bhagwati et al. "A Novel Approach for Malicious Node Detection in Vehicular Ad-Hoc Network Using Support Vector Machine." 2023.
[37] Al-Ezaly, Esraa et al. "An Innovative Traffic Light Recognition Method Using Vehicular Ad-Hoc Networks." Scientific reports, vol. 13, no. 1, 2023, p. 4009.
