Effectiveness of Vehicular Communication Using NP-CSMA with Bernoulli-Based Gaussian Interpolation Function

Mahmoud Zaki Iskandarani (1)
(1) Faculty of Engineering, Al-Ahliyya Amman University, Amman, 19238, Jordan
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Iskandarani, Mahmoud Zaki. “Effectiveness of Vehicular Communication Using NP-CSMA With Bernoulli-Based Gaussian Interpolation Function”. International Journal on Advanced Science, Engineering and Information Technology, vol. 14, no. 1, Feb. 2024, pp. 89-98, doi:10.18517/ijaseit.14.1.18734.
The objective is to investigate the effectiveness of Gaussian arrival and its effect on vehicular communication compared to Bernoulli's arrival. MATLAB simulation covers three different levels of slot probability: low, medium, and high. The goal behind such simulation is to establish the importance of an adaptive function such as Gaussian interpolation resulting in smoother control of vehicular communication with better channel performance when compared to Bernoulli. This work shows that at low slot probability (Pslot), Gaussian arrival results in a much higher throughput (S) compared to Bernoulli, with a gradual reduction in throughput as Gaussian spread (γ) increases. The decrease in S as γ increases is due to the Gaussian interpolation, which performs control and results in higher channel stability. At mid probability, the simulation and analysis show a convergence between Gaussian results and Bernoulli, with differences in buffered frames (Btotal) as a function of γ. At a high Pslot value, Bernoulli produces higher S than Gaussian, with the closest Gaussian values at γ=2. However, the number of buffered frames using Bernoulli arrival is much higher than Gaussian. The exceedingly high Btotal can result in more collisions, which Gaussian arrival controls very well with a small sacrifice in throughput. The shape function for Bernoulli is shown to be different from Gaussian, except for specific values of γ, where there is a match. The obtained results show the adaptability and smoothness in which Gaussian arrival can optimize channel communication using Non-Persistent CSMA, which enables intelligent vehicular communication.

K. Suganthi, M. A. Kumar, N. Harish, S. HariKrishnan, G. Rajesh, and S. S. Reka, “Advanced Driver Assistance System Based on IoT V2V and V2I for Vision Enabled Lane Changing with Futuristic Drivability,” Sensors, vol. 23, no. 7, pp. 1–13, 2023, doi:10.3390/s23073423.

H. Song, F. Zhao, G. Zhu, and Z. Liu, “Impacts of Connected and Autonomous Vehicles with Level 2 Automation on Traffic Efficiency and Energy Consumption,” J. Adv. Transp., vol. 2023, 2023, doi:10.1155/2023/6348778.

C. Xu, S. Wang, P. Song, K. Li, and T. Song, “Intelligent Resource Allocation for V2V Communication with Spectrum–Energy Efficiency Maximization,” Sensors, vol. 23, no. 15, pp. 1–16, 2023, doi: 10.3390/s23156796.

A. Ahmed and B. Aijaz, “A Case Study on the Potential Applications of V2V Communication for Improving Road Safety in Pakistan,” Eng. Proc., vol. 32, no. 1, pp. 1–9, 2023, doi:10.3390/engproc2023032017.

M. Alsudani and T. Ozturk, “Wireless Communication Between Vehicles : Exploring the Potential of V2V and V2X Communication for Improved Efficiency , Safety , and Sustainability,” no. August, pp. 2–7, 2023.

Y. Chen, Z. Zhan, and W. Zhang, “MPC-based time synchronization method for V2V (vehicle-to-vehicle) communication,” Railw. Sci., vol. 2, no. 1, pp. 101–120, 2023, doi: 10.1108/rs-01-2023-0002.

A. Alsaleh, “How Do V2V and V2I Messages Affect the Performance of Driving Smart Vehicles?,” Comput. Syst. Sci. Eng., vol. 47, no. 2, pp. 2313–2336, 2023, doi: 10.32604/csse.2023.039682.

Y. Zhang, T. Zhu, and C. Li, “Efficient Communications in V2V Networks with Two-Way,” pp. 1–18, 2023.

L. Peng, J. Huang, T. Zhou, and S. Xu, “V2V-enabled cooperative adaptive cruise control strategy for improving driving safety and travel efficiency of semi-automated vehicle fleet,” IET Intell. Transp. Syst., 2023, doi: 10.1049/itr2.12402.

G. Ali, M. ElAffendi, and N. Ahmad, “BlockAuth: A blockchain-based framework for secure vehicle authentication and authorization,” PLoS One, vol. 18, no. 9, p. e0291596, 2023, doi:10.1371/journal.pone.0291596.

J. Lim, D. Pyun, D. Choi, K. Bok, and J. Yoo, “Efficient Dissemination of Safety Messages in Vehicle Ad Hoc Network Environments,” Appl. Sci., vol. 13, no. 11, 2023, doi: 10.3390/app13116391.

M. A. Al‐absi et al., “Secure and efficient high throughput medium access control for vehicular ad‐hoc network,” Sensors, vol. 21, no. 14, pp. 1–24, 2021, doi: 10.3390/s21144935.

R. Zhou, “VANET Architecture Analysis and Protocols,” Int. J. Comput. Appl., vol. 184, no. 13, pp. 44–54, 2022, doi:10.5120/ijca2022922129.

N. H. Hussein, C. T. Yaw, S. P. Koh, S. K. Tiong, and K. H. Chong, “A Comprehensive Survey on Vehicular Networking: Communications, Applications, Challenges, and Upcoming Research Directions,” IEEE Access, vol. 10, no. August, pp. 86127–86180, 2022, doi: 10.1109/ACCESS.2022.3198656.

S. Y. Han and C. Y. Zhang, “ASMAC: An Adaptive Slot Access MAC Protocol in Distributed VANET,” Electron., vol. 11, no. 7, 2022, doi:10.3390/electronics11071145.

J. Tiwari, M. Purna, A. Prakash, and R. Tripathi, “A hybrid-spatially distributed multichannel MAC protocol for vehicular ad-hoc networks,” Int. J. Electron., vol. 110, no. 5, pp. 955–970, 2023, doi:10.1080/00207217.2022.2068197.

K. Abid, H. Lakhlef, and A. Bouabdallah, “Preventive Time Slot Allocation MAC Protocol for Vehicular Networks,” 2023 Int. Wirel. Commun. Mob. Comput. IWCMC 2023, no. June, pp. 739–744, 2023, doi: 10.1109/IWCMC58020.2023.10182516.

N. N. Linn, K. Liu, and Q. Gao, “A Contention-Free Cooperative MAC Protocol for Eliminating Heterogenous Collisions in Vehicular Ad Hoc Networks,” Sensors, vol. 23, no. 2, 2023, doi:10.3390/s23021033.

L. Hota, B. P. Nayak, A. Kumar, G. G. N. Ali, P. Han, and J. Chong, “An Analysis on Contemporary MAC Layer Protocols in Vehicular Networks : State-of-the-Art and Future Directions,” pp. 1–45, 2021.

C. D. Ozkaptan, E. Ekici, C. H. Wang, and O. Altintas, “Neighbor Discovery and MAC Protocol for Joint Automotive Radar-Communication Systems,” IEEE Veh. Technol. Conf., vol. 2021-September, pp. 1–6, 2021, doi: 10.1109/VTC2021-Fall52928.2021.9625465.

Z. Ming, X. Liu, X. Yang, and M. Wang, “An Improved CSMA/CA Protocol Anti-Jamming Method Based on Reinforcement Learning,” Electron., vol. 12, no. 17, 2023, doi: 10.3390/electronics12173547.

L. Li, Y. Dong, C. Pan, and P. Fan, “Age of Information of CSMA/CA Based Wireless Networks,” 2022 Int. Wirel. Commun. Mob. Comput. IWCMC 2022, pp. 530–535, 2022, doi:10.1109/IWCMC55113.2022.9824704.

A. Achroufene, M. Chelik, and N. Bouadem, “Modified CSMA/CA protocol for real-time data fusion applications based on clustered WSN,” Comput. Networks, vol. 196, no. June, p. 108243, 2021, doi:10.1016/j.comnet.2021.108243.

Z. Zheng, S. Jiang, R. Feng, L. Ge, and C. Gu, “An adaptive backoff selection scheme based on Q-learning for CSMA/CA,” Wirel. Networks, vol. 20, no. 2018, pp. 11–13, 2023, doi: 10.1007/s11276-023-03257-0.

L. K. Ouladdjedid and B. Brik, “Dynamic Beacon Distribution Mechanism for Internet of Vehicles: An Analytical Study,” Electron., vol. 12, no. 4, 2023, doi: 10.3390/electronics12040818.

H. Ding, W. Pei, Y. Yu, P. Hu, B. Li, and X. Lu, “New Multipriority and Variable Duration Triple Time Slot P-CSMA Protocol for Edge Servers Server Deployment,” Int. J. RF Microw. Comput. Eng., vol. 2023, 2023, doi: 10.1155/2023/3110383.

A. Baiocchi, “Maximizing the stable throughput of heterogeneous nodes under airtime fairness in a CSMA environment,” Comput. Commun., vol. 210, no. July, pp. 229–242, 2023, doi:10.1016/j.comcom.2023.08.010.

L. Lusvarghi, A. Molina-Galan, B. Coll-Perales, J. Gozalvez, and M. L. Merani, “A comparative analysis of the semi-persistent and dynamic scheduling schemes in NR-V2X mode 2,” Veh. Commun., vol. 42, p. 100628, 2023, doi: 10.1016/j.vehcom.2023.100628.

M. Z. Iskandarani, “Sinusoidal Regression Modelling of Vehicular Data Communication Employing NP-CSMA,” Int. J. Intell. Eng. Syst., vol. 16, no. 3, pp. 625–640, 2023, doi: 10.22266/ijies2023.0630.50.

T. A. Alani and S. A. Aliesawi, “Driverless Cars with Communication System Based On Multiple Access Protocols,” IOP Conf. Ser. Mater. Sci. Eng., vol. 1076, no. 1, p. 012039, 2021, doi: 10.1088/1757-899x/1076/1/012039.

Z. Han, H. Ding, K. Yue, L. Bao, and Z. Yang, “New type NP-CSMA of adaptive multi-priority control WSN protocol analysis,” Int. J. Reason. Intell. Syst., vol. 13, no. 1, pp. 24–31, 2021, doi:10.1504/IJRIS.2021.113049.

H. S. Bedi, K. K. Sharma, S. R. A. J. Chopra, and B. Singh, “Analysis of Qos Parameters Using Different Back Off Window Algorithm in the Ieee 802 . 11E Networks,” vol. 21, no. 10, pp. 6147–6157, 2022.

A. M. Hamzah and Y. J. K. Nukhailawi, “The Backoff in Intermediate Networks for a Real-Time System Embedded Ethernet,” Proc. - CSCTIT 2022 5th Coll. Sci. Int. Conf. Recent Trends Inf. Technol., pp. 277–281, 2022, doi: 10.1109/CSCTIT56299.2022.10145655.

C. Jangkajit and C. Suwannapong, “Performance Evaluation of Triangular Number Sequence Backoff Algorithm for Constrained Application Protocol,” Int. J. Technol., vol. 14, no. 2, pp. 399–410, 2023, doi: 10.14716/ijtech.v14i2.5686.

K. Hussain, Y. Xia, and A. N. Onaizah, “Starvation mitigation and priority aware of CSMA/CA in WSN with implementing Markov chain model,” Optik (Stuttg)., vol. 271, no. December, pp. 1–6, 2022, doi: 10.1016/j.ijleo.2022.170186.

A. Baiocchi, “Age of Information in CSMA-Based Networks With Bursty Update Traffic,” IEEE Access, vol. 10, pp. 44088–44105, 2023, doi: 10.1109/ACCESS.2022.3168321.

D. Cirimelli-low, “Making CSMA Collision-Free and Stable Using Collaborative Indexing,” pp. 1–8, 2022, doi: 10.1007/978-3-031-17436-0.

I. S. In and I. S. In, “Throughput Estimation of slotted np-CSMA based on semi-Markov process,” pp. 9–11, 2019, doi:10.1109/iEECON45304.2019.8939013.

I. A. Aref, T. A. El-Mihoub, and K. A. Ben Musa, “Design Channel Nonpersistent CSMA MAC Protocol Model for Complex Wireless Systems Based on SoC Methodology,” no. Ccit, pp. 182–185, 2014, doi: 10.2991/ccit-14.2014.48.

P. K. Wong, D. Yin, and T. T. Lee, “Analysis of non-persistent CSMA protocols with exponential backoff scheduling,” IEEE Trans. Commun., vol. 59, no. 8, pp. 2206–2214, 2011, doi:10.1109/TCOMM.2011.051811.100241.

C. Li, J. Yu, W. Chen, K. Wang, and K. Yang, “Measurements and analysis of vehicular radio channels in the inland lake bridge area,” 2019, doi: 10.1049/iet-map.2018.5876.

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