A V2V Emergent Message Dissemination Scheme for 6G-Oriented Vehicular Networks

CHEN Chen; WANG Chenyu; CONG Li; XIAO Ming; PEI Qingqi

doi:10.23919/cje.2022.00.337

Volume 32 Issue 6

Nov. 2023

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Article Navigation > Chinese Journal of Electronics > 2023 > 32(6): 1179-1191

CHEN Chen, WANG Chenyu, CONG Li, et al., “A V2V Emergent Message Dissemination Scheme for 6G-Oriented Vehicular Networks,” Chinese Journal of Electronics, vol. 32, no. 6, pp. 1179-1191, 2023, doi: 10.23919/cje.2022.00.337

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CHEN Chen, WANG Chenyu, CONG Li, et al., “A V2V Emergent Message Dissemination Scheme for 6G-Oriented Vehicular Networks,” Chinese Journal of Electronics, vol. 32, no. 6, pp. 1179-1191, 2023, doi: 10.23919/cje.2022.00.337

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A V2V Emergent Message Dissemination Scheme for 6G-Oriented Vehicular Networks

doi: 10.23919/cje.2022.00.337

CHEN Chen^1
,,
WANG Chenyu^1
,,
CONG Li^2
,,
XIAO Ming^3
,,
PEI Qingqi^1
,

1.
School of Telecommunication Engineering, Xidian University, Xi’an 710071, China
2.
The State Grid Jilin Province Electric Power Company Limited Information Communication Company, Changchun 13002, China
3.
KTH Royal Institute of Technology, Stockholm 10044, Sweden

Funds: This work was supported by the National Key Research and Development Program of China (2020YFB1807500), the National Natural Science Foundation of China (62072360, 62001357, 62172438, 61901367), the Key Research and Development Plan of Shaanxi Province (2021ZDLGY02-09, 2023-GHZD-44, 2023-ZDLGY-54), the Natural Science Foundation of Guangdong Province of China (2022A1515010988), the Key Project on Artificial Intelligence of Xi’an Science and Technology Plan (2022JH-RGZN-0003, 2022JH-RGZN-0103, 2022JH-CLCJ-0053), the Xi’an Science and Technology Plan (20RGZN0005), and the Xi’an Key Laboratory of Mobile Edge Computing and Security (201805052-ZD3CG36).

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Author Bio:
Chen CHEN received the B.E., M.S. and Ph.D. degrees in telecommunication from Xidian University, Xi’an, China, in 2000, 2006, and 2008, respectively. He is currently a Professor with the Department of Telecommunication in Xidian University, and a member of The State Key Laboratory of Integrated Service Networks in Xidian University. He is also the Director of the Xi’an Key Laboratory of Mobile Edge Computing and Security, and the Director of the Intelligent Transportation Research Laboratory in Xidian University. He was a Visiting Professor at the Department of EECS in the University of Tennessee and the Department of CS in the University of California. He serves as General Chair, PC Chair, Workshop Chair or TPC Member of a number of conferences. He has authored/co-authored 2 books, over 130 scientific papers in international journals and conference proceedings. He has contributed to the development of 5 copyrighted software systems and invented over 100 patents. He is also a Senior Member of China Computer Federation (CCF) and China Institute of Communications (CIC). (Email: cc2000@mail.xidian.edu.cn)

Chenyu WANG received the B.S. degree in electronic and information engineering from Chang’an University, in 2018. She is currently studying for an M.S. degree in Xidian University. Her research interests include Internet of vehicle, intelligent transportation and Internet of thing. (Email: W573592782@163.com)

Li CONG received Ph.D. degree in telecommunication from Xidian University, Xi’an, China, in 2011. She currently works in State Grid Jilin Province Electric Power Company Limited Information Communication Company and serves as Deputy Director. She is a Senior Engineer of Power Engineering Technology. She also serves as a Standing Director of the IEEE PES Wire Communications Subcommittee. She authored/co-authored 1 book, over 30 scientific papers in international journals and conference proceedings. She has contributed to the development of 2 copyrighted software systems and invented over 20 patents. She has gained over 70 honors and awards in the area of the State Grid system. (Email: congli8462@163.com)

Ming XIAO received the B.S. and M.S. degrees in engineering from the University of Electronic Science and Technology of China, Chengdu, in 1997 and 2002, respectively, and the Ph.D. degree from the Chalmers University of Technology, Sweden, in 2007. From 1997 to 1999, he was a Network and Software Engineer with ChinaTelecom. From 2000 to 2002, he also held a position with the Sichuan Communications Administration. Since 2007, he has been with the School of Electrical Engineering, Royal Institute of Technology, Sweden, where he is currently an Associate Professor of communications theory. He got “Hans Werthen Grant” from the Royal Swedish Academy of Engineering Science in 2006. He received “Ericsson Research Funding” from Ericsson in 2010. He was a recipient of the Best Paper Awards in International Conference on Wireless Communications and Signal Processing in 2010, the IEEE International Conference on Computer Communication Networks in 2011, and the Chinese Government Award for Outstanding Self-Financed Students Studying Abroad in 2007. Since 2012, he has been an Associate Editor of the IEEE Transactions on Communications and IEEE Wireless Communications Letters, and has been a Senior Editor of IEEE Communications Letters since 2015. (Email: mingx@kth.se)

Qingqi PEI received the B.S., M.S., and Ph.D. degrees in computer science and cryptography from Xidian University, Xi’an, China, in 1998, 2005, and 2008, respectively. He is currently a Professor and a Member of the State Key Laboratory of Integrated Services Networks, Xidian University. His research interests include digital contents protection and wireless networks, and security. He is a Professional Member of ACM and a Senior Member of the Chinese Institute of Electronics and China Computer Federation. (Email: qqpei@mail.xidian.edu.cn)
Received Date: 2022-10-11
Accepted Date: 2023-03-21

Available Online: 2023-05-16

Publish Date: 2023-11-05

Abstract

Abstract

To ensure traffic safety and improve traffic efficiency, vehicular networks come up with multiple types of messages for safety and efficiency applications. In sixth-generation (6G) systems, these messages should be timely and error-free disseminated through vehicle-to-vehicle (V2V) communication to ensure traffic safety and efficiency. V2V supports direct communication between two vehicle user equipments, regardless of whether a base station is involved. We propose a packet delivery ratio (PDR)-based message dissemination scheme (PDR-MD) between V2V in 6G-oriented vehicular networks to select relay vehicles when broadcasting emergent messages. This scheme grasps the balance between vehicle distance and PDR so as to reduce transmission delay while ensuring reliable PDR. We compared the PDR-MD scheme with other probabilistic broadcasting schemes. The experimental results show that the PDR-MD protocol can maintain close to 95% and above PDR in transmitting emergent messages, and the transfer rate stays below 40%.
- Internet of vehicles,
- 6G,
- Vehicle-to-vehicle (V2V) communication,
- Data dissemination

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References

[1]	A. Paul, N. Chilamkurti, A. Daniel, et al., “Chapter 2-Intelligent transportation systems,” in Intelligent Vehicular Networks and Communications: Fundamentals, Architectures and Solutions, A. Paul, N. Chilamkurti, A. Daniel, et al., Eds. Elsevier, Amsterdam, pp.21–41, 2017.
[2]	BS ISO 21218: 2013, Intelligent transport systems-communications access for land mobiles (CALM)-access technology support, Available at: https://webstore.ansi.org/preview-pages/BSI/preview_30265089.pdf.
[3]	Y. Ju, Y. C. Chen, Z. W. Cao, et al., “Joint secure offloading and resource allocation for vehicular edge computing network: A multi-agent deep reinforcement learning approach,” IEEE Transactions on Intelligent Transportation Systems, vol.24, no.5, pp.5555–5569, 2023. doi: 10.1109/TITS.2023.3242997
[4]	D. G. Zhang, Y. Y. Cui, C. Chen, et al., “An adaptive routing method for high-speed-road scenario of the internet of vehicle,” Acta Electonica Sinica, vol.48, no.1, pp.172–179, 2020. doi: 10.3969/j.issn.0372-2112.2020.01.021
[5]	C. Wang, C. Chen, Q. Q. Pei, et al., “An information-centric in-network caching scheme for 5g-enabled internet of connected vehicles,” IEEE Transactions on Mobile Computing, vol.22, no.6, pp.3137–3150, 2023. doi: 10.1109/TMC.2021.3137219
[6]	B. Wang, K. Xu, S. L. Zheng, et al., “A deep learning-based intelligent receiver for improving the reliability of the MIMO wireless communication system,” IEEE Transactions on Reliability, vol.71, no.2, pp.1104–1115, 2022. doi: 10.1109/TR.2022.3148114
[7]	S. Wang, Y. Lu, J. Zhu, et al., “A novel collision supervision and avoidance algorithm for scalable MAC of vehicular networks,” Chinese Journal of Electronics, vol.30, no.1, pp.164–170, 2021. doi: 10.1049/cje.2020.12.001
[8]	L. S. Li, J. X. Wu, H. C. Hu, et al., “Secure cloud architecture for 5G core network,” Chinese Journal of Electronics, vol.30, no.3, pp.516–522, 2021. doi: 10.1049/cje.2021.04.005
[9]	C. Chen, G. R. Yao, L. Liu, et al., “A cooperative vehicle-infrastructure system for road hazards detection with edge intelligence,” IEEE Transactions on Intelligent Transportation Systems, vol.24, no.5, pp.5186–5198, 2023. doi: 10.1109/TITS.2023.3241251
[10]	E. Calvanese Strinati, S. Barbarossa, J. L. Gonzalez-Jimenez, et al., “6g: The next frontier: From holographic messaging to artificial intelligence using subterahertz and visible light communication,” IEEE Vehicular Technology Magazine, vol.14, no.3, pp.42–50, 2019. doi: 10.1109/MVT.2019.2921162
[11]	R. B. Guo, Y. J. Tang, C. M. Zhang, et al., “Prospects and challenges of THz precoding,” Chinese Journal of Electronics, vol.31, no.3, pp.488–498, 2022. doi: 10.1049/cje.2021.00.263
[12]	Y. R. Zhang, C. Chen, L. Liu, et al., “Aerial edge computing on orbit: A task offloading and allocation scheme,” IEEE Transactions on Network Science and Engineering, vol.10, no.1, pp.275–285, 2023. doi: 10.1109/TNSE.2022.3207214
[13]	ETSI EN 302 637-2 v1.3. 1: 2014, Intelligent transport systems (its); vehicular communications; basic set of applications; part 2: Specification of cooperative awareness basic service, Available at: https://www.etsi.org/deliver/etsi_en/302600_302699/30263702/01.03.01_30/en_30263702v010301v.pdf.
[14]	ETSI EN 302 637-3 (V1.2. 1): 2014, Intelligent transport systems (its); vehicular communications; basic set of applications; Part 3: Specifications of decentralized environmental notification basic service, Available at: https://standards.globalspec.com/std/13271201/EN%20302%20637-3.
[15]	H. I. Abbasi, R. C. Voicu, J. A. Copeland, et al., “Towards fast and reliable multihop routing in VANETs,” IEEE Transactions on Mobile Computing, vol.19, no.10, pp.2461–2474, 2020. doi: 10.1109/TMC.2019.2923230
[16]	O. K. Tonguz, N. Wisitpongphan, and F. Bai, “DV-CAST: A distributed vehicular broadcast protocol for vehicular ad hoc networks,” IEEE Wireless Communications, vol.17, no.2, pp.47–57, 2010. doi: 10.1109/MWC.2010.5450660
[17]	A. Hisham, E. G. Ström, F. Brännström, et al., “Scheduling and power control for V2V broadcast communications with co-channel and adjacent channel interference,” IEEE Access, vol.7, pp.67041–67058, 2019. doi: 10.1109/ACCESS.2019.2916954
[18]	N. A. Tultul, S. Farha, S. S. Hossain, et al., “Device-to-device communication in terahertz frequency band: Enhancement of energy efficiency,” in Proceedings of the 2020 IEEE Region 10 Conference (TENCON), Osaka, Japan, pp.117–122, 2020.
[19]	ETSI, Intelligent transport systems (its); vehicular communications; basic set of applications; Part 2: Specification of cooperative awareness basic service,” Draft ETSI TS, vol.20, no.2011, pp.448–451, 2011.
[20]	F. Morandi, F. Linsalata, M. Brambilla, et al., “A probabilistic codebook technique for fast initial access in 6g vehicle-to-vehicle communications, ” in Proceedings of the 2021 IEEE International Conference on Communications Workshops (ICC Workshops), Montreal, QC, Canada, pp.1–6, 2021.
[21]	V. Petrov, J. Kokkoniemi, D. Moltchanov, et al., “The impact of interference from the side lanes on mmWave/THz band V2V communication systems with directional antennas,” IEEE Transactions on Vehicular Technology, vol.67, no.6, pp.5028–5041, 2018. doi: 10.1109/TVT.2018.2799564
[22]	Z. W. Huang, L. Bai, X. Cheng, et al., “A non-stationary 6G V2V channel model with continuously arbitrary trajectory,” IEEE Transactions on Vehicular Technology, vol.72, no.1, pp.4–19, 2023. doi: 10.1109/TVT.2022.3203229
[23]	X. M. Zhang, L. Yan, K. H. Chen, et al., “Fast, efficient broadcast schemes based on the prediction of dynamics in vehicular ad hoc networks,” IEEE Transactions on Intelligent Transportation Systems, vol.21, no.2, pp.531–542, 2020. doi: 10.1109/TITS.2019.2896627
[24]	Z. H. Pei, W. Chen, C. Z. Li, et al., “Analysis and optimization of multihop broadcast communication in the internet of vehicles based on C-V2X mode 4,” IEEE Sensors Journal, vol.22, no.12, pp.12428–12443, 2022. doi: 10.1109/JSEN.2022.3175158
[25]	M. Fallgren, T. Abbas, S. Allio, et al., “Multicast and broadcast enablers for high-performing cellular V2X systems,” IEEE Transactions on Broadcasting, vol.65, no.2, pp.454–463, 2019. doi: 10.1109/TBC.2019.2912619
[26]	L. H. Nguyen, V. L. Nguyen, and J. J. Kuo, “Efficient reinforcement learning-based transmission control for mitigating channel congestion in 5g V2X Sidelink,” IEEE Access, vol.10, pp.62268–62281, 2022. doi: 10.1109/ACCESS.2022.3182021
[27]	S. Chang, “An emergence alert broadcast based on cluster diversity for autonomous vehicles in indoor environments,” IEEE Access, vol.8, pp.84385–84395, 2020. doi: 10.1109/ACCESS.2020.2992545
[28]	P. Wendland and G. Schaefer, “Feedback-based hidden-terminal mitigation for distributed scheduling in cellular V2X,” in Proceedings of the 2020 IFIP Networking Conference (Networking), Paris, France, 2020, pp.549–553.
[29]	S. Park, B. Kim, H. Yoon, et al., “RA-eV2V: Relaying systems for LTE-V2V communications,” Journal of Communications and Networks, vol.20, no.4, pp.396–405, 2018. doi: 10.1109/JCN.2018.000055
[30]	F. J. Martín-Vega, B. Soret, M. C. Aguayo-Torres, et al., “Geolocation-based access for vehicular communications: Analysis and optimization via stochastic geometry,” IEEE Transactions on Vehicular Technology, vol.67, no.4, pp.3069–3084, 2018. doi: 10.1109/TVT.2017.2775249
[31]	X. T. Ma, J. H. Zhao, and Y. Gong, “Joint scheduling and resource allocation for efficiency-oriented distributed learning over vehicle platooning networks,” IEEE Transactions on Vehicular Technology, vol.70, no.10, pp.10894–10908, 2021. doi: 10.1109/TVT.2021.3107465
[32]	F. Li, J. J. Xiong, X. H. Lan, et al., “Hypersonic vehicle trajectory prediction algorithm based on hough transform,” Chinese Journal of Electronics, vol.30, no.5, pp.918–930, 2021. doi: 10.1049/cje.2021.07.003
[33]	M. Noor-A-Rahim, G. G. M. N. Ali, Y. L. Guan, et al., “Broadcast performance analysis and improvements of the LTE-V2V autonomous mode at road intersection,” IEEE Transactions on Vehicular Technology, vol.68, no.10, pp.9359–9369, 2019. doi: 10.1109/TVT.2019.2936799
[34]	J. Lv, X. X. He, and T. Luo, “Blockage avoidance based sensor data dissemination in multi-hop MmWave vehicular networks,” IEEE Transactions on Vehicular Technology, vol.70, no.9, pp.8898–8911, 2021. doi: 10.1109/TVT.2021.3097831
[35]	X. M. Zhang, S. Pan, and Q. L. Miao, “Adaptive beamforming-based gigabit message dissemination for highway VANETs,” IEEE Transactions on Intelligent Transportation Systems, vol.23, no.7, pp.7666–7679, 2022. doi: 10.1109/TITS.2021.3071733
[36]	S. J. Mohammed and S. T. Hasson, “Modeling and simulation of data dissemination in VANET based on a clustering approach,” in Proceedings of the 2022 International Conference on Computer Science and Software Engineering (CSASE), Duhok, Iraq, pp.54–59, 2022.
[37]	S. Ullah, G. Abbas, Z. H. Abbas, et al., “RBO-EM: Reduced broadcast overhead scheme for emergency message dissemination in VANETs,” IEEE Access, vol.8, pp.175205–175219, 2020. doi: 10.1109/ACCESS.2020.3025212
[38]	M. Laha and R. Datta, “Efficient message dissemination in V2V network: A local centrality-based approach, ” in Proceedings of the 2021 National Conference on Communications (NCC), Kanpur, India, pp.1–6, 2021.
[39]	B. Y. Liu, W. Z. Han, W. Jiang, et al., “A novel V2V-based temporary warning network for safety message dissemination in urban environments,” IEEE Internet of Things Journal, vol.9, no.24, pp.25136–25149, 2022. doi: 10.1109/JIOT.2022.3195655
[40]	A. Naja, M. Boulmalf, and M. Essaaidi, “Performance analysis of an improved probability-based and counter-based broadcast protocols for VANETs,” in Proceedings of the 2017 International Conference on Electrical and Information Technologies (ICEIT), Rabat, Morocco, pp.1–5, 2017.
[41]	C. Chen, C. Y. Wang, B. Liu, et al., “Edge intelligence empowered vehicle detection and image segmentation for autonomous vehicles,” IEEE Transactions on Intelligent Transportation Systems, in press, 2023.
[42]	S. A. Alghamdi, “Cellular V2X with D2D communications for emergency message dissemination and QoS assured routing in 5g environment,” IEEE Access, vol.9, pp.56049–56065, 2021. doi: 10.1109/ACCESS.2021.3071349
[43]	W. D. Shen and H. Y. Wei, “Distributed V2X Sidelink communications with receiver grant MAC design,” IEEE Transactions on Vehicular Technology, vol.71, no.5, pp.5415–5429, 2022. doi: 10.1109/TVT.2022.3153816
[44]	L. Codeca, R. Frank, S. Faye, et al., “Luxembourg sumo traffic (lust) scenario: Traffic demand evaluation,” IEEE Intelligent Transportation Systems Magazine, vol.9, no.2, pp.52–63, 2017. doi: 10.1109/MITS.2017.2666585
[45]	S. Uppoor, O. Trullols-Cruces, M. Fiore, et al., “Generation and analysis of a large-scale urban vehicular mobility dataset,” IEEE Transactions on Mobile Computing, vol.13, no.5, pp.1061–1075, 2014. doi: 10.1109/TMC.2013.27
[46]	P. Spadaccino, P. Conti, E. Boninsegna, et al., “EPIC: An epidemic based dissemination algorithm for VANETs,” in Proceedings of the 1st ACM MobiHoc Workshop on Technologies, mOdels, and Protocols for Cooperative Connected Cars, Catania, Italy, pp.1–6, 2019.