Volume 3 , Issue 1 , PP: 37-48, 2021 | Cite this article as | XML | PDF | Full Length Article
Seema Gaba 1 , Kavita . 2 * , Sahil Verma 3 , Monica Sood 4
Doi: https://doi.org/10.54216/IJWAC.030104
A group of vehicles either mobile or stationery that is interconnected through a wireless network generate a vehicular ad hoc network (VANET). Providing comfort as well as safety to the drivers in vehicular scenarios is the main importance of VANETs. Since there is an increase in the number of autonomous vehicles, these networks are now being considered as an infrastructure for an intelligent transportation system. Fog computing can be provided low latent information sharing and more background knowledge by localizing one of the features. This research work is related to data aggregation in vehicular ad hoc networks. In this research work, the technique of multicasting will be proposed for the data aggregation in VANETs. The Network Simulator 2 is used to perform experiments and few performance measures are used for analysing the outcomes..
VANET , Fog Computing , Data Aggregation , Multicasting
[1] M. Khabazian, S. Aissa, and M. Mehmet-Ali, “Performance modeling of message dissemination in vehicular ad hoc networks with priority,” 2011, IEEE J. Sel. Areas Commun., vol. 29, no. 1, pp. 61–71
[2] Sabihur Rehman, M. Arif Khan, Tanveer A. Zia, Lihong Zheng, “Vehicular Ad-Hoc Networks (VANETs) - An Overview and Challenges”, 2013, Journal of Wireless Networking and Communications vol 3(3) pp 29-38
[3] J. Barrachina, P. Garrido, M. Fogue, F. Martinez, J. Cano, C. Calafate and P. Manzoni, "A V2I-Based Real-Time Traffic Density Estimation System in Urban Scenarios", 2015, Wireless Personal Communications, vol. 83, no. 1, pp. 259-280
[4] Tanvi Sharma, et al.. (2017) Intelligent Heart Disease Prediction System Using Machine Learning: A Review, International Journal of Recent Research Aspects, ISSN: 2349-7688, Vol. 4, Issue 2, pp. 94- 97..
[5] Loveleen Gaur, et al., Disposition of Youth in Predicting Sustainable Development Goals Using the Neuro-fuzzy and Random Forest Algorithms, Article number: 11:24 (2021)
[6] S. Tachi, M. Inami, and Y. Uema, “Augmented reality helps drivers see around blind spots,” 2016, IEEE Spectr., vol. 31
[7] A. Hussain et al., "A Resource Efficient hybrid Proxy Mobile IPv6 extension for Next Generation IoT Networks," in IEEE Internet of Things Journal, doi: 10.1109/JIOT.2021.3058982.
[8] C. A. R. L. Brennand, F. D. da Cunha, G. Maia, E. Cerqueira, A. A. F. Loureiro and L. A. Villas, "FOX: A traffic management system of computer-based vehicles FOG," 2016, IEEE Symposium on Computers and Communication (ISCC), Messina, pp. 982-987
[9] Karuna Nidhi Pandagre, Apoorva Joshi, JayantiJharia, “Vehicular Ad-Hoc Network: Vanet”, 2016, International Journal Ofresearch In Computer applications And Robotics, Vol.6 Issue 2, Pg.: 29-32
[10] Akshat Srivastava, Sahil Verma, Kavita, NZ Jhanjhi, Atul Malhotra, “Analysis of Quality of Service in VANET”, 2020, Vol. 993, 012061, IOP Science, doi:10.1088/1757-899X/993/1/012061.
[11] Monica Sood, Sahil Verma, Vinod Kumar Panchal and Kavita “Optimal Path Planning using Swarm Intelligence based Hybrid Techniques” Journal of computational and theoretical nanoscience (JCTN), ASPBS publisher. Vol. 16 No. 9, 2019, pp. 3717–3727, DOI:10.1166/jctn.2019.8240
[12] Anas Abu Taleb, “VANET Routing Protocols and Architectures: An Overview”, Journal of Computer Science”, 2018, Vol 16 (3)
[13] D. Kalaivani, Rajkumar S, “A Research on VANET: Various Broadcasting and Clustering Techniques”, 2019, International Journal of Innovative Technology and Exploring Engineering (IJITEE), Volume-8, Issue- 6S6,
[14] DebjyotiSaha, Pravin Wararkar, Shashikant Patil, “Comprehensive Study and Overview of Vehicular AdHOC Networks (VANETs) in Current Scenario with Respect to Realistic Vehicular Environment”, 2019, International Journal of Computer Applications, Volume 178 – No. 15
[15] Ahmed Jawad Kadhim, Seyed Amin Hosseini Seno, “Energy-efficient multicast routing protocol based on SDN and fog computing for vehicular networks”, Ad Hoc Networks, Volume 86, 1 March 2019, Pages 68-81
[16] Vijayalakshmi, B, Ramar, K, Jhanjhi, N, et al. An attention-based deep learning model for traffic flow prediction using spatiotemporal features towards sustainable smart city. International Journal of Communication System, Wiley 2021; 34, 4609. https://doi.org/10.1002/dac.4609 .
[17] Li, W., Chai, Y., Khan, F. et al. A Comprehensive Survey on Machine Learning-Based Big Data Analytics for IoT-Enabled Smart Healthcare System. Mobile Network and Applications 26, 234–252 (2021). https://doi.org/10.1007/s11036-020-01700-6
[18] Habtamu Mohammed Birhanie, Sidi-Mohammed Senouc, Mohammed Ayoub Messous ;AmelArfaoui, Ali Kies, “A Stochastic Theoretical Game Approach for Resource Allocation in Vehicular Fog Computing”, 2020, IEEE 17th Annual Consumer Communications & Networking Conference (CCNC)
[19] Gandam A, Sidhu JS, Verma S, Jhanjhi NZ, Nayyar A, Abouhawwash M, et al. (2021) An efficient post-processing adaptive filtering technique to rectifying the flickering effects. PLoS ONE 16(5): e0250959. https://doi.org/10.1371/journal.pone.0250959
[20] Shuxin Ge, Meng Cheng, Xiaobo Zhou, “Interference Aware Service Migration in Vehicular Fog Computing”, 2020, IEEE Access, Volume: 8
[21] Nguyen B. Truong, GyuMyoung Lee, YacineGhamri-Doudane, “Software defined networking-based vehicular Adhoc Network with Fog Computing”, 2015, IFIP/IEEE International Symposium on Integrated Network Management (IM)
[22] P. Rani, Kavita, S. Verma and G. N. Nguyen, "Mitigation of Black Hole and Gray Hole Attack Using Swarm Inspired Algorithm with Artificial Neural Network," in IEEE Access, vol. 8, pp. 121755-121764, 2020, doi: 10.1109/ACCESS.2020.3004692.
[23] XincaoXu, Kai Liu, Ke Xiao, HualingRen, Liang Feng, Chao Chen, “Design and Implementation of a Fog Computing Based Collision Warning System in VANETs”, 2018, IEEE Symposium on Product Compliance Engineering - Asia (ISPCE-CN)
[24] Mimi Ma, Debiao He, Huaqun Wang, Neeraj Kumar, Kim-Kwang Raymond Choo, “An Efficient and Provably Secure Authenticated Key Agreement Protocol for Fog-Based Vehicular Ad-Hoc Networks”, IEEE Internet of Things Journal, 2019, Volume: 6, Issue: 5
[25] Hasan Ali Khattak, Saif Ul Islam, Ikram Ud Din, Mohsen Guizani, “Integrating Fog Computing with VANETs: A Consumer Perspective”, IEEE Communications Standards Magazine, 2019, Volume: 3, Issue: 1
[26] Joseph Khoury, Hani Sami, Haidar Safa, Wassim El-Hajj, “On the Use of Software Defined Wireless Network in Vehicular Fog Computing Environments”, 2019, 15th International Wireless Communications & Mobile Computing Conference (IWCMC)
[27] Xiaomei Zhang, Chen Lyu, Zhicai Shi, Dongmei Li, Neal N. Xiong, Chi-Hung Chi, “Reliable Multiservice Delivery in Fog-Enabled VANETs: Integrated Misbehavior Detection and Tolerance”, IEEE Access, 2019, Volume: 7
[28] Ke Xiao, Kai Liu, Junhua Wang, Yanning Yang, Liang Feng, Jingjing Cao, Victor Lee, “A Fog Computing Paradigm for Efficient Information Services in VANET”, 2019, IEEE Wireless Communications and Networking Conference (WCNC)
