Intelligent accident detection system by emergency response and disaster management using vehicular fog computing

References

• Peng X, Ota K, Dong M. Multi attribute based double auction toward resource allocation in vehicular fog computing. IEEE Internet Things J. 2020;7(4):3094–3103. doi:10.1109/JIOT.2020.2965009
   Web of Science ®Google Scholar
• Ning Z, Huang J, Wang X. Vehicular fog computing: enabling real time traffic management for smart cities. IEEE Wirel Commun. 2019;26(1):87–93. doi:10.1109/MWC.2019.1700441
   Web of Science ®Google Scholar
• Cretu DRBA, Yi J, Avram C, et al. Flying ad hoc network for emergency applications connected to a fog system. Lect Notes Data Eng Commun Technol. 2018;17(1):675–686. doi:10.1007/978-3-319-75928-9_60
   Google Scholar
• Chaurasia N, Kumar P. A comprehensive study on issues and challenges related to privacy and security in IoT. e-Prime – Adv Electr Eng Electron Energy. 2023;4:100158. doi:10.1016/j.prime.2023.100158
   Google Scholar
• Khan A, Bibi F, Dilshad M, et al. Accident detection and smart rescue system using Android smart phone with real time location tracking. Int J Adv Comput Sci App. 2018;9(6):341–355. doi:10.14569/IJACSA.2018.090648
   Web of Science ®Google Scholar
• Aydin C, Tarhan C, Ozgur AS, et al. Improving disaster resilience using mobile based disaster management system. Procedia Technol. 2016;22(1):382–390. doi:10.1016/j.protcy.2016.01.027
   Google Scholar
• Muzakkir Hussain M, Alam MS, Sufyan Beg MM. Vehicular fog computing-planning and design. Procedia Comput Sci. 2020;167:2570–2580. doi:10.1016/j.procs.2020.03.313
   Google Scholar
• Khaliq KA, Chughtai O, Shahwani A, et al. Road accidents detection data collection and data analysis using V2X communication and edge or cloud computing. Electron (Basel). 2019;8(8):896. doi:10.3390/electronics8080896
   Web of Science ®Google Scholar
• Sami H, Mourad A, ElHajj W. Vehicular OBUs as on demand fogs: resource and context aware deployment of containerized micro services. ACM Trans Network. 2020;28(2):778–790. doi:10.1109/TNET.2020.2973800
   Web of Science ®Google Scholar
• Lin C, Han G, Qi X, et al. A distributed mobile fog computing scheme for mobile delay sensitive applications in SDN enabled vehicular network. IEEE Trans Veh Technol. 2020;69(5):5481–5493. doi:10.1109/TVT.2020.2980934
   Web of Science ®Google Scholar
• Osanaiye O, Chen S, Yan Z, et al. From cloud to fog computing: a review and a conceptual live VM migration frame work. IEEE Access. 2017;5(1):8284–8300. doi:10.1109/ACCESS.2017.2692960
   Google Scholar
• Salma RN, Balaji NA, Sukumar R. A framework for authentication in vehicular ad-hoc network using identity based approach. IOSR J Eng. 2013;3(7):15–19. doi:10.9790/3021-03731519
   Google Scholar
• Park Y, Rhee KH, Sur C. A Secure and Location Assurance Protocol for Location-Aware Services in VANETs’. 2011 Fifth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing. 2011;2(11):456–461. 10.1109IMIS.2011.40
   Google Scholar
• Kamat P, Baliga A, Trappe W. Secure, pseudonymous, and auditable communication in vehicular ad hoc networks. Secur Commun Networks. 2008;l(3):233–244. doi:10.1002/sec.27
   Google Scholar
• Xie Y, Zhang S, Li X, et al. An efficient cooperative message authentication based on reputation mechanism in vehicular ad hoc networks. Int J Distrib Sens Netw. 2019;15(6):1–13. doi:10.1177/1550147719854910.
   Web of Science ®Google Scholar
• Zhang X, Wang W, Mu L, et al. Efficient privacy-preserving anonymous authentication protocol for vehicular ad-hoc networks. Wireless Pers Commun. 2021;120:3171–3187. doi:10.1007/s11277-021-08605-x
   Web of Science ®Google Scholar
• Lakshmi Narayanan K, Robinson YH, Krishnan R, et al. Internet of things based smart accident recognition and rescue system using deep forests ML algorithm. In: Balas VE, Solanki VK, Kumar R, editors. Recent advances in internet of things and machine learning. intelligent systems reference library. Cham: Springer; 2022. p. 215. doi:10.1007/978-3-030-90119-6_4
   Google Scholar
• Kumar A, Khusru Akhtar MA, Pandey A, et al. Smart city vehicle accident monitoring and detection system using (MEMS, GSM, GPS) Raspberry Pi 4. IETE Journal of Research. 2022. doi:10.1080/03772063.2022.2043787
   Web of Science ®Google Scholar
• Pant B, Sharma H, Chawla R, et al. An IoT-based intelligent traffic engagement system with emergency vehicles pre-emption. Int J Sens Netw. 2022;40(1):10–19. doi:10.1504/IJSNET.2022.125271
   Web of Science ®Google Scholar
• Rathod GS, Tipale RC, Jajulwar K. Intelligent accident detection and alerting system based on machine learning over the IoT Network. 2022 International Conference on Futuristic Technologies (INCOFT), Belgaum, India, 2022. pp. 1–6. doi:10.1109/INCOFT55651.2022.10094513
   Google Scholar
• Josephin Shermila P, Sharon Priya S, Malarvizhi K, et al. Accident detection using automotive smart black-box based monitoring system. Meas Sens. 2023;27:100721. doi:10.1016/j.measen.2023.100721
   Google Scholar
• Uma N, Saktheeswari R, Indumathi A, et al. Smart accident detection and alert system. Int J Eng Res Technol. 2023;11(3):1–7. doi:10.17577/IJERTCONV11IS03004.
   Google Scholar
• Saxena P, Sonwani S. Primary criteria air pollutants: environmental health effects. In: Saxena P, Sonwani S, editors. Criteria air pollutants and their impact on environmental health. Singapore: Springer; 2019. pp. 49–82. doi:10.1007/978-981-13-9992-3_3
   Google Scholar
• Choudhary M, Kumari S, Chaulya SK, et al. Perceptive driving assistant system for opencast mines during foggy weather. Mining Metall Explor. 2022;39(7):1–17. 10.1007s42461-022-00678-x
   Google Scholar
• Jalew EA. Fog computing based traffic safety for connected vulnerable road users. Mobile Computing. Université Bourgogne Franche-Comté, 2019. English. 〈NNT: 2019UBFCK057〉. https://theses.hal.science/tel-02459792.
   Google Scholar
• Emambocus BAS, Jasser MB, Mustapha A, et al. Dragonfly algorithm and its hybrids: a survey on performance, objectives and applications. Sensors. 2021;21:7542. doi:10.3390/s21227542
   PubMed Web of Science ®Google Scholar