Wireless sensor network based V2V connectivity in VANET
Abstract
When it comes to vehicular ad hoc networks (VANETs) and vehicle-to-vehicle (V2V) communication, wireless sensor networks (WSNs) are crucial for enhancing vehicle connectivity. An essential technology that enables vehicle-to-vehicle networking is IEEE 802.11p. This research presents a novel method for improving V to V interaction through the use of wireless sensors networks (WSNs), which overcomes limitations such as limited data transmission capacity and dynamic network topologies. The optimal data exchange rate can be determined by implementing rate adaptation algorithms, which take channel characteristics like data losses into account. The incorporation of sensors in automobiles establishes a decentralized network that enables the instantaneous conversion of data, encompassing traffic locations, road dangers, and vehicle positions. WSN-based V2V networking facilitates the creation of intelligent transportation networks, enabling vehicles to make educated decisions by exchanging information. The purpose of this research is to enhance the creation of modern connectivity systems using VANET and examine the results through effective simulation using NS2.35.
Keywords
Full Text:
PDFReferences
1. Balapgol S, Deshmukh PK. Broadcast protocol for V2V and V2RSU in VANET. International Journal of Advanced Research in Computer and Communication Engineering. 2015; 4(7): 38-43.
2. Azam F, Yadav SK, Priyadarshi N, et al. A Comprehensive Review of Authentication Schemes in Vehicular Ad-Hoc Network. IEEE Access. 2021; 9: 31309-31321. doi: 10.1109/access.2021.3060046
3. King H, Nolan K, Kelly M. Interoperability Between DSRC and LTE for VANETs. 2018 IEEE 13th International Symposium on Industrial Embedded Systems (SIES). Published online June 2018. doi: 10.1109/sies.2018.8442086
4. Madli R, Varaprasad G, Imthiyaz MP. A Review of Communication Handoffs in Vehicular Ad-Hoc Networks (VANET) and its Classification. 2018.
5. Qiu L, Zhang Y, Wang F, et al. A general model of wireless interference. In: Proceedings of the 13th annual ACM international conference on Mobile computing and networking. doi: 10.1145/1287853.1287874
6. Mahmood J, Duan Z, Yang Y, et al. Security in Vehicular Ad Hoc Networks: Challenges and Countermeasures. Irshad A, ed. Security and Communication Networks. 2021; 2021: 1-20. doi: 10.1155/2021/9997771
7. Ma X, Chen X, Refai HH. Performance and Reliability of DSRC Vehicular Safety Communication: A Formal Analysis. EURASIP Journal on Wireless Communications and Networking. 2009; 2009(1). doi: 10.1155/2009/969164
8. Khabazian M, Ali M. A Performance Modeling of Connectivity in Vehicular Ad Hoc Networks. IEEE Transactions on Vehicular Technology. 2008; 57(4): 2440-2450. doi: 10.1109/tvt.2007.912161
9. Sadeghi B, Kanodia V, Sabharwal A, et al. Opportunistic media access for multirate ad hoc networks. In: Proceedings of the 8th annual international conference on Mobile computing and networking. doi: 10.1145/570645.570650
10. Xia Q, Pu J, Hamdi M. Model-Tree-Based Rate Adaptation Scheme for Vehicular Networks. In: Proceedings of the 2009 IEEE International Conference on Communications. doi: 10.1109/icc.2009.5199195
11. Liu C, Liu S, Hamdi M. GeRA: Generic rate adaptation for vehicular networks. In: Proceedings of the 2012 IEEE International Conference on Communications (ICC). doi: 10.1109/icc.2012.6364639
12. Punal O, Zhang H, Gross J. RFRA: Random Forests Rate Adaptation for vehicular networks. In: Proceedings of the 2013 IEEE 14th International Symposium on “A World of Wireless, Mobile and Multimedia Networks” (WoWMoM). doi: 10.1109/wowmom.2013.6583398
13. Wong SHY, Yang H, Lu S, et al. Robust rate adaptation for 802.11 wireless networks. In: Proceedings of the 12th annual international conference on Mobile computing and networking. doi: 10.1145/1161089.1161107
14. Cao L, Yin H, Hu J, et al. Performance Analysis and Improvement on DSRC Application for V2V Communication. In: 2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall). doi: 10.1109/vtc2020-fall49728.2020.9348743
15. Garcia MHC, Molina-Galan A, Boban M, et al. A Tutorial on 5G NR V2X Communications. IEEE Communications Surveys & Tutorials. 2021; 23(3): 1972-2026. doi: 10.1109/comst.2021.3057017
16. Cao L, Yin H, Wei R, et al. Optimize Semi-Persistent Scheduling in NR-V2X: An Age-of-Information Perspective. In: Proceedings of the 2022 IEEE Wireless Communications and Networking Conference (WCNC). doi: 10.1109/wcnc51071.2022.9771765
17. Martelli F, Elena Renda M, Resta G, et al. A measurement-based study of beaconing performance in IEEE 802.11p vehicular networks. In: Proceedings of the 2012 Proceedings IEEE INFOCOM. doi: 10.1109/infcom.2012.6195517
18. Maowad H, Shaaban E. Efficient routing protocol for Vehicular Ad hoc networks. In: Proceedings of 2012 9th IEEE International Conference on Networking, Sensing and Control. doi: 10.1109/icnsc.2012.6204918
19. European Telecommunications Standards Institute (ETSI). Intelligent Transport Systems (ITS); Decentralized Congestion Control Mechanisms for Intelligent Transport Systems operating in the 5 GHz range; Access layer part; 2011.
20. Najm WG, Koopmann J, Smith JD., Brewer J. Frequency of target crashes for intellidrive safety systems (No. DOT HS 811 381). United States. Department of Transportation. National Highway Traffic Safety Administration; 2010.
21. Martinez FJ, Chai-Keong Toh, Cano JC, et al. Emergency Services in Future Intelligent Transportation Systems Based on Vehicular Communication Networks. IEEE Intelligent Transportation Systems Magazine. 2010; 2(2): 6-20. doi: 10.1109/mits.2010.938166
22. Bai F, Krishnamachari B. Spatio-temporal variations of vehicle traffic in VANETs. In: Proceedings of the sixth ACM international workshop on VehiculAr InterNETworking. doi: 10.1145/1614269.1614278
23. Vutukuru M, Balakrishnan H, Jamieson K. Cross-layer wireless bit rate adaptation. In: Proceedings of the ACM SIGCOMM 2009 conference on Data communication. doi: 10.1145/1592568.1592571
24. Shankar P, Nadeem T, Rosca J, et al. CARS: Context-Aware Rate Selection for vehicular networks. 2008 IEEE International Conference on Network Protocols. doi: 10.1109/icnp.2008.4697019
25. Jamieson K, Balakrishnan H. PPR. ACM SIGCOMM Computer Communication Review. 2007; 37(4): 409-420. doi: 10.1145/1282427.1282426
26. Kim J, Kim S, Choi S, et al. CARA: Collision-Aware Rate Adaptation for IEEE 802.11 WLANs. In: Proceedings IEEE INFOCOM 2006 25TH IEEE International Conference on Computer Communications. doi: 10.1109/infocom.2006.316
27. Consortium VSC. Vehicle Safety Communications Project: Task 3 Final Report: Identify Intelligent Vehicle Safety Applications Enabled by DSRC. Washington, DC, USA: U.S. Dept. of Transportation National Highway Traffic Safety Administration; 2005.
28. Bicket JC. Bit-rate selection in wireless networks [PhD thesis]. Massachusetts Institute of Technology; 2005.
29. Lacage M, Manshaei MH, Turletti T. IEEE 802.11 rate adaptation: a practical approach. In: Proceedings of the 7th ACM international symposium on Modeling, analysis and simulation of wireless and mobile systems; 2004. pp. 126-134.
30. Anastasi G, Borgia E, Conti M, et al. Wi-fi in ad hoc mode: A measurement study. In: Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications, 2004. doi: 10.1109/percom.2004.1276853
31. Acosta G, Tokuda K, Ingram MA. Measured joint Doppler-delay power profiles for vehicle-to-vehicle communications at 2.4 GHz. IEEE Global Telecommunications Conference (GLOBECOM’04). 2004; 3813-3817.
32. Zhu J, Roy S. MAC for dedicated short range communications in intelligent transport system. IEEE Communications Magazine. 2003; 41(12): 60-67. doi: 10.1109/mcom.2003.1252800
33. Zhao X, Kivinen J, Vainikainen P, Skog K. Propagation characteristics for wideband outdoor mobile communications at 5.3 GHz. IEEE Journal on Selected Areas in Communications. 2002; 20(3): 507-514.
34. Selvan RS. Intersection Collision Avoidance in DSRC using VANET. Concurrency and Computation-Practice and Experience. 2020; 34(13/e5856): 1532-0626.
DOI: https://doi.org/10.32629/jai.v7i5.1603
Refbacks
- There are currently no refbacks.
Copyright (c) 2024 R. Usha, M. Prabha, Nishit Kumar Srivastava, B. G. Mamatha Bai, S. Gopinath, T. Meeradevi, R. Senthamil Selvan, Pooja E. Sakunde
License URL: https://creativecommons.org/licenses/by-nc/4.0/