Analysis of Vehicle-to-Vehicle Basic Safety Message Communication Using Connectivity Characteristic Matrix
This work investigates vehicular mobility and the main factors that impact Vehicle-to-Vehicle (V2V) connectivity using Basic Safety Message (BSM). MATLAB simulation used for Vehicular mobility and connectivity characterization under specific road traffic conditions. The simulation covers connectivity between traveling vehicles and a selected target vehicle to monitor communication interaction and establish an envelope within which reliable communication and BSM messages can occur. Another objective of this work is to use BSM exchanges to indicate the level of connectivity used to estimate traffic density, thus enabling congestion prediction. The obtained data contain information describing many vehicles, distance, connectivity time, and traffic density. The simulation results indicate an increase in the number of connected vehicles (connectivity level) as a function of both traffic density and communication range. Extending communication over fixed duration showed increased connectivity levels, allowing more vehicles to interact and exchange BSMs. The rate of change of connectivity per communication range is an indication of the state of traffic. Continuous connectivity proved to be less than general connectivity as vehicles exits through ramps and move from one cluster of vehicles to another. Varying duration per fixed communication range produced evidence of spatial domain change, and cluster variation as threshold values separate vehicles clusters in time and space. This work presented a model to help analyze the impact of vehicular mobility as a function of BSM communication range variation and connectivity duration variation correlated to traffic density.
S. Hussain, D. Wu, W. Xin, S. Memon, N. K. Bux, and A. Saleem, “Reliability and connectivity analysis of vehicluar ad hoc networks for a highway tunnel,” Int. J. Adv. Comput. Sci. Appl., vol. 10, no. 4, pp. 181–186, 2019, doi: 10.14569/ijacsa.2019.0100421.
T. Li, D. Ngoduy, F. Hui, and X. Zhao, “A car-following model to assess the impact of V2V messages on traffic dynamics,” Transp. B, vol. 8, no. 1, pp. 150–165, 2020, doi: 10.1080/21680566.2020.1728591.
A. D. Beza and M. M. Zefreh, “Potential Effects of Automated Vehicles on Road Transportation: A Literature Review,” Transp. Telecommun., vol. 20, no. 3, pp. 269–278, 2019, doi: 10.2478/ttj-2019-0023.
Y. Bai, K. Zheng, Z. Wang, X. Wang, and J. Wang, “MC-Safe: Multi-channel Real-time V2V Communication for Enhancing Driving Safety,” ACM Trans. Cyber-Physical Syst., vol. 4, no. 4, 2020, doi: 10.1145/3394961.
C. R. Guerber, E. L. Gomes, M. S. Pereira Fonseca, A. Munaretto, and T. H. Silva, “Transmission Opportunities: A New Approach to Improve Quality in V2V Networks,” Wirel. Commun. Mob. Comput., vol. 2019, pp. 1–6, 2019, doi: 10.1155/2019/1708437.
P. Sewalkar and J. Seitz, “Vehicle-to-pedestrian communication for vulnerable road users: Survey, design considerations, and challenges,” Sensors (Switzerland), vol. 19, no. 2, 2019, doi: 10.3390/s19020358.
S. Mignardi, C. Buratti, A. Bazzi, and R. Verdone, “Trajectories and resource management of flying base stations for C-V2X,” Sensors (Switzerland), vol. 19, no. 4, pp. 1–15, 2019, doi: 10.3390/s19040811.
C. Jung, D. Lee, S. Lee, and D. H. Shim, “V2x-communication-aided autonomous driving: System design and experimental validation,” Sensors (Switzerland), vol. 20, no. 10, pp. 1–21, 2020, doi: 10.3390/s20102903.
U. A. Mughal, J. Xiao, I. Ahmad, and K. H. Chang, “Cooperative resource management for C-V2I communications in a dense urban environment,” Veh. Commun., vol. 26, p. 100282, 2020, doi: 10.1016/j.vehcom.2020.100282.
B. L. Nguyen, D. T. Ngo, N. H. Tran, M. N. Dao, and H. L. Vu, “Dynamic V2I/V2V Cooperative Scheme for Connectivity and Throughput Enhancement,” IEEE Trans. Intell. Transp. Syst., vol. 2020, no. 2, pp. 1–11, 2020, doi: 10.1109/tits.2020.3023708.
M. Kamal, G. Srivastava, and M. Tariq, “Blockchain-Based Lightweight and Secured V2V Communication in the Internet of Vehicles,” IEEE Trans. Intell. Transp. Syst., vol. 2020, no. 2, pp. 1–8, 2020, doi: 10.1109/tits.2020.3002462.
D. F. Xie, Y. Q. Wen, X. M. Zhao, X. G. Li, and Z. He, “Cooperative driving strategies of connected vehicles for stabilizing traffic flow,” Transp. B, vol. 8, no. 1, pp. 166–181, 2020, doi: 10.1080/21680566.2020.1728590.
F. Arena and G. Pau, “An overview of vehicular communications,” Futur. Internet, vol. 11, no. 2, 2019, doi: 10.3390/fi11020027.
Y. Chen, C. Lu, and W. Chu, “A Cooperative Driving Strategy Based on Velocity Prediction for Connected Vehicles with Robust Path-Following Control,” IEEE Internet Things J., vol. 7, no. 5, pp. 3822–3832, 2020, doi: 10.1109/JIOT.2020.2969209.
J. C. Mertens, C. Knies, F. Diermeyer, S. Escherle, and S. Kraus, “The need for cooperative automated driving,” Electron., vol. 9, no. 5, 2020, doi: 10.3390/electronics9050754.
K. Yu, L. Peng, X. Ding, F. Zhang, and M. Chen, “Prediction of instantaneous driving safety in emergency scenarios based on connected vehicle basic safety messages,” J. Intell. Connect. Veh., vol. 2, no. 2, pp. 78–90, 2019, doi: 10.1108/jicv-07-2019-0008.
K. Gao, F. Han, P. Dong, N. Xiong, and R. Du, “Connected vehicle as a mobile sensor for real time queue length at signalized intersections,” Sensors (Switzerland), vol. 19, no. 9, pp. 1–22, 2019, doi: 10.3390/s19092059.
S. A. Ahmad, A. Hajisami, H. Krishnan, F. Ahmed-Zaid, and E. Moradi-Pari, “V2V System Congestion Control Validation and Performance,” IEEE Trans. Veh. Technol., vol. 68, no. 3, pp. 2102–2110, 2019, doi: 10.1109/TVT.2019.2893042.
R. Wang, Z. Xu, X. Zhao, and J. Hu, “V2V-based method for the detection of road traffic congestion,” IET Intell. Transp. Syst., vol. 13, no. 5, pp. 880–885, 2019, doi: 10.1049/iet-its.2018.5177.
M. El Zorkany, A. Yasser, and A. I. Galal, “Vehicle To Vehicle ‘V2V’ Communication: Scope, Importance, Challenges, Research Directions and Future,” Open Transp. J., vol. 14, no. 1, pp. 86–98, 2020, doi: 10.2174/1874447802014010086.
M. Baek, D. Jeong, D. Choi, and S. Lee, “Vehicle trajectory prediction and collision warning via fusion of multisensors and wireless vehicular communications,” Sensors (Switzerland), vol. 20, no. 1, 2020, doi: 10.3390/s20010288.
M. Alowish, Y. Shiraishi, Y. Takano, M. Mohri, and M. Morii, “Stabilized Clustering Enabled V2V Communication in an NDN-SDVN Environment for Content Retrieval,” IEEE Access, vol. 8, pp. 135138–135151, 2020, doi: 10.1109/ACCESS.2020.3010881.
Venkatamangarao Nampally and Dr. M. Raghavender Sharma, “A Novel Protocol for Safety Messaging and Secure Communication for VANET System : DSRC,” Int. J. Eng. Res., vol. V9, no. 01, pp. 391–397, 2020, doi: 10.17577/ijertv9is010029.
H. Kim and T. Kim, “Vehicle-to-vehicle (V2V) message content plausibility check for platoons through low-power beaconing,” Sensors (Switzerland), vol. 19, no. 24, pp. 1–20, 2019, doi: 10.3390/s19245493.
S. Banani, S. Gordon, S. Thiemjarus, and S. Kittipiyakul, “Verifying safety messages using relative-time and zone priority in vehicular ad hoc networks,” Sensors (Switzerland), vol. 18, no. 4, pp. 1–21, 2018, doi: 10.3390/s18041195.
K. Eshteiwi, G. Kaddoum, B. Selim, and F. Gagnon, “Impact of Co-Channel Interference and Vehicles as Obstacles on Full-Duplex V2V Cooperative Wireless Network,” IEEE Trans. Veh. Technol., vol. 69, no. 7, pp. 7503–7517, 2020, doi: 10.1109/TVT.2020.2993508.
Z. El-Rewini, K. Sadatsharan, D. F. Selvaraj, S. J. Plathottam, and P. Ranganathan, “Cybersecurity challenges in vehicular communications,” Veh. Commun., vol. 23, p. 100214, 2020, doi: 10.1016/j.vehcom.2019.100214.
H. Chang, Y. E. Song, H. Kim, and H. Jung, “Distributed transmission power control for communication congestion control and awareness enhancement in VANETs,” PLoS One, vol. 13, no. 9, pp. 1–25, 2018, doi: 10.1371/journal.pone.0203261.
M. S. Sheikh, J. Liang, and W. Wang, “Security and Privacy in Vehicular Ad Hoc Network and Vehicle Cloud Computing: A Survey,” Wirel. Commun. Mob. Comput., vol. 2020, 2020, doi: 10.1155/2020/5129620.
L. Zhong, S. Yang, and J. Chen, “QoS aware multi-convergence node coordination mechanism based on cellular automata in vehicular sensor networks,” J. Inf. Sci. Eng., vol. 36, no. 4, pp. 727–743, 2020, doi: 10.6688/JISE.202007_36(4).0003.
J. Liu, W. Yang, J. Zhang, and C. Yang, “Detecting false messages in vehicular ad hoc networks based on a traffic flow model,” Int. J. Distrib. Sens. Networks, vol. 16, no. 2, 2020, doi: 10.1177/1550147720906390.
M. Z. Iskandarani, “Effect of Route Length and Signal Attenuation on Energy Consumption in V2V Communication,” Int. J. Adv. Comput. Sci. Appl., vol. 11, no. 10, pp. 304–309, 2020, doi: 10.14569/ijacsa.2020.0111039.
M. Z. Iskandarani, “Sensing and Detection of Traffic Status through V2V Routing Hop Count and Route Energy,” Int. J. Adv. Comput. Sci. Appl., vol. 12, no. 4, pp. 93–100, 2021, doi: 10.14569/IJACSA.2021.0120412.
L. Gao, Y. Hou, X. Tao, and M. Zhu, “Energy-Efficient Power Control and Resource Allocation for V2V Communication,” IEEE Wirel. Commun. Netw. Conf. WCNC, vol. 2020-May, no. 2, pp. 1–2, 2020, doi: 10.1109/WCNC45663.2020.9120612.
N. Vineeth and H. S. Guruprasad, “Instantly Decodable RaptorQ Intersessions in Vehicular Adhoc Networks,” Transp. Telecommun. J., vol. 21, no. 2, pp. 134–148, 2020, doi: 10.2478/ttj-2020-0011.
D. Punia and R. Kumar, “Experimental Characterization of Routing Protocols in Urban Vehicular Communication,” Transp. Telecommun., vol. 20, no. 3, pp. 229–241, 2019, doi: 10.2478/ttj-2019-0019.
X. Liu and A. Jaekel, “Congestion control in V2V safety communication: Problem, analysis, approaches,” Electron., vol. 8, no. 5, 2019, doi: 10.3390/electronics8050540.
S. Son and K. J. Park, “BEAT: Beacon inter-reception time ensured adaptive transmission for vehicle-to-vehicle safety communication,” Sensors (Switzerland), vol. 19, no. 14, 2019, doi: 10.3390/s19143061.
J. Xiong et al., “Carrier-Phase-Based Multi-Vehicle Cooperative Positioning Using V2V Sensors,” IEEE Trans. Veh. Technol., vol. 69, no. 9, pp. 9528–9541, 2020, doi: 10.1109/TVT.2020.3004832.
A. Sakuraba, Y. Shibata, G. Sato, and N. Uchida, “Performance evaluation of V2V and V2R communication based on 2-wavelength cognitive wireless network on road state information gis platform,” Adv. Intell. Syst. Comput., vol. 1035, pp. 212–222, 2020, doi: 10.1007/978-3-030-29035-1_21.
B. L. Nguyen, D. T. Ngo, N. H. Tran, M. N. Dao, and H. L. Vu, “Dynamic V2I/V2V Cooperative Scheme for Connectivity and Throughput Enhancement,” IEEE Trans. Intell. Transp. Syst., pp. 1–11, 2020, doi: 10.1109/tits.2020.3023708.
Kanchan Nahar and Swati Sharma, “Congestion Control in VANET at MAC Layer: A Review,” Int. J. Eng. Res., vol. V9, no. 03, pp. 509–515, 2020, doi: 10.17577/ijertv9is030479.
A. Attanasi, M. Pezzulla, L. Simi, L. Meschini, and G. Gentile, “A Scalable Approach for Short-Term Predictions of Link Traffic Flow by Online Association of Clustering Profiles,” Transp. Telecommun. J., vol. 21, no. 2, pp. 119–124, 2020, doi: 10.2478/ttj-2020-0009.
D. R. I. M. Setiadi, R. R. Fratama, and N. D. A. Partiningsih, “Improved accuracy of vehicle counter for real-time traffic monitoring system,” Transp. Telecommun., vol. 21, no. 2, pp. 125–133, 2020, doi: 10.2478/ttj-2020-0010.
H. Singh, V. Laxmi, A. Malik, and I. Batra, “Current Research on Congestion Control Schemes in VANET: A Practical Interpretation,” Int. J. Recent Technol. Eng., vol. 8, no. 4, pp. 4336–4341, 2019, doi: 10.35940/ijrte.d8213.118419.
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