Vehicle to vehicle communication using NRF24L01

Notice

This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2026 | Volume : 13 | 03 | Page :
By

G. Murugan,

A. Ananiya,

R. Anjana,

R. Arthi,

B. Binosha jenesis,

  1. Associate professor, Rohini college of engineering and technology, Tamil Nadu, India
  2. Students, Rohini college of engineering and technology, Tamil Nadu, India
  3. Students, Rohini college of engineering and technology, Tamil Nadu, India
  4. Students, Rohini college of engineering and technology, Tamil Nadu, India
  5. Students, Rohini college of engineering and technology, Tamil Nadu, India

Abstract

Vehicle-to-Vehicle (V2V) communication enables nearby vehicles to exchange information wirelessly to improve road safety and reduce accidents. This review focuses on the use of the NRF24L01 wireless transceiver module as a low-cost solution for V2V applications. The module operates in the 2.4 GHz ISM band and can be interfaced with microcontrollers such as Arduino for wireless data transmission. Sensors can be used to detect conditions such as obstacles, sudden braking and other hazards, while NRF24L01 transmits the information to nearby vehicles. Such communication can provide quicker reactions to potentially hazardous circumstances and give drivers timely warnings. The examination looks at sensor integration, wireless communication protocols, data transfer, receiver-side alert systems, and the fundamental architecture of V2V systems. The review studies existing research on NRF24L01-based V2V communication, including the techniques, hardware, communication methods and results reported by different researchers. System performance, communication range, reaction time, dependability, and the real-world difficulties of deploying inexpensive wireless communication between cars are all given special consideration. The benefits and drawbacks of NRF24L01 in comparison to more sophisticated V2V communication technologies are also considered. The study highlights the suitability of NRF24L01 for developing simple, economical and effective V2V communication prototypes for small-scale road safety applications, research, and experimentation.

Keywords: Vehicle-to-Vehicle Communication, Wireless Communication, Arduino, Intelligent Transportation System, Vehicle Safety

How to cite this article: G. Murugan, A. Ananiya, R. Anjana, R. Arthi, B. Binosha jenesis. Vehicle to vehicle communication using NRF24L01. Recent Trends in Electronics Communication Systems. 2026; 13(03):-.
How to cite this URL: G. Murugan, A. Ananiya, R. Anjana, R. Arthi, B. Binosha jenesis. Vehicle to vehicle communication using NRF24L01. Recent Trends in Electronics Communication Systems. 2026; 13(03):-. Available from: https://journals.stmjournals.com/rtecs/article=2026/view=259663

References

  1. Yahya MS, Soeung S, Musa U, Samaila YA, Yunusa Z, Hamzah SA. A compact Dual-Band antenna for enhanced Vehicle-to-Vehicle communication. Transportation Research Procedia. 2025 Jan 1;84:370-7.
  2. Sandesh RS. Revolutionizing vehicle communication: A comprehensive exploration of technologies for enhanced road safety and autonomous vehicles. Alexandria Engineering Journal. 2025 Oct 1;129:976-97.
  3. Almani D, Muller T, Furnell S. Leveraging reputation for enhanced decision accuracy in vehicle-to-vehicle communications under limited infrastructure. Vehicular Communications. 2025 Aug 1;54:100927.
  4. Valocky F, Orgon M, Fujdiak I. Experimental autonomous car model with safety sensor in wireless network. IFAC-PapersOnLine. 2019 Jan 1;52(27):92- 7.
  5. Montero L, Ballesteros C, De Marco C, Jofre L. Beam management for vehicle-to-vehicle (V2V) communications in millimeter wave 5G. Vehicular communications. 2022 Apr 1;34:100424.
  6. Donà R, Mattas K, He Y, Albano G, Ciuffo B. Multianticipation for string stable Adaptive Cruise Control and increased motorway capacity without vehicle-to-vehicle communication. Transportation research part C: emerging technologies. 2022 Jul 1;140:103687.
  7. Motamedidehkordi N, Margreiter M, Benz T. Shockwave suppression by vehicle-to-vehicle communication. Transportation research procedia. 2016 Jan 1;15:471-82.
  8. George R, Vaidyanathan S, Rajput AS, Deepa K. LiFi for vehicle to vehicle communication–a review. Procedia Computer Science. 2019 Jan 1;165:25-31.
  9. Yusuf SA, Khan A, Souissi R. Vehicle-to-everything (V2X) in the autonomous vehicles domain–A technical review of communication, sensor, and AI technologies for road user safety. Transportation Research Interdisciplinary Perspectives. 2024 Jan 1;23:100980.
  10. Khakifirooz M, Fathi M, Du L. Reliability assessment of vehicle-to-vehicle communication networks through headway distribution and information propagation delay. Transportation research interdisciplinary perspectives. 2024 Mar 1;24:101053.
  11. Boehm P, Ghasemi AH, O’Modhrain S, Jayakumar P, Gillespie RB. Architectures for shared control of vehicle steering. IFAC-PapersOnLine. 2016 Jan 1;49(19):639-44.
  12. Hallasi RV, Arqque YM, Mamani FA, Corzo AE, Pinto PL, Espinoza ES. PyLoGreen: Design and implementation of a low-cost agricultural data acquisition and monitoring system using Raspberry Pi, LoRa, and nRF24L01 in the High-Andean Tundra. HardwareX. 2026 Apr 4:e00766.
  13. Reddy CS, Agrawal A, Anupama KR. Quanta-A platform for rapid control and monitoring of heterogeneous rbots. Digital Communications and Networks. 2020 Nov 1;6(4):452-62.
  14. Krugh M, Garimella RS, Baburaj A, Wescoat E, Mears L. Closed loop feedback mechanism effect pilot investigation on manual assembly time and process variation. Procedia Manufacturing. 2020 Jan 1;48:95-104.
  15. Aboharg S, Abdelfattah EK, Abdelmotaleb I, Shaaban SM, Eldesoukey A, Omara ZM, Sharaby N. Performance Evaluation of an Electric Seed Metering Device for Precision Maize Planting Using an Agricultural Robot. Results in Engineering. 2026 Aug 1:112298.
  16. Al-Wesabi FN, Alshahrani A, Alanazi R, Alshahrani MM, Sorour S, Alghamdi AM, Alamri MZ, Alanazi S. Integrated communication and location monitoring system for vehicle monitoring via smartphone calls. Alexandria Engineering Journal. 2025 Sep 1;128:1159-67.
  17. Alanazi TM. Deep polar transformer semantic coding framework for reliable 6G autonomous vehicle communication. Ain Shams Engineering Journal. 2026 Sep 1;17(9):104315.
  18. Qin Y, Wang H, Ran B. Impact of connected and automated vehicles on passenger comfort of traffic flow with vehicle-to-vehicle communications. KSCE journal of civil engineering. 2019 Feb;23(2):821-32.
  19. Meshram V, Patil K, Meshram V, Hanchate D, Ramkteke SD. Machine learning in agriculture domain: A state-of-art survey. Artificial Intelligence in the Life Sciences. 2021 Dec 1;1:100010.
  20. Harkin AM, Mangold A, Harkin KA, Petzoldt T. Implicit communication in cyclist-vehicle interaction: Examining the influence of driving dynamics in interactions with turning (automated) vehicles on cyclists’ perceived safety, behavioral intention, and risk anticipation. Journal of Cycling and Micromobility Research. 2024 Dec 1;2:100028.
Ahead of Print Subscription Review Article
Volume 13
03
Received 16/09/2026
Accepted 18/09/2026
Published 09/10/2026
Publication Time 23 Days

Login

My IP

PlumX Metrics

Support