Potential and Limitation of Internet of Things (IOT) Application in the Automotive Industry: An Overview
DOI: 10.15282/ijame.19.3.2022.06.0766
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Summary
This review article examines the integration of Internet of Things (IoT) technologies within the automotive industry, analyzing both the transformative potential and the inherent limitations of these systems. The study is motivated by the automotive sector’s status as a major global manufacturing industry and its rapid transition toward Industry 4.0, characterized by the shift from analogue to digital vehicles. As market demand evolves beyond fuel efficiency to include sophisticated connectivity, the authors aim to provide a systematic overview of IoT applications, specifically addressing collision avoidance systems and the broader technological landscape reshaping vehicle design and operation. The paper employs a literature review methodology to synthesize existing research on IoT architectures and their specific implementations in automotive contexts. It traces the historical progression of automotive technology from early mechanical innovations to modern software-driven advancements, highlighting key milestones such as the introduction of on-board diagnostics, hybrid vehicles, and electric cars. The review categorizes IoT technologies into several key domains: Radio Frequency Identification (RFID) for vehicle localization and tracking; Bluetooth and Wi-Fi for short-range connectivity and infotainment; Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communications, collectively known as Vehicle-to-Everything (V2X); Automotive Ethernet for high-data-rate internal communication; and Long-Term Evolution (LTE) for mobile telecommunications. The authors analyze specific studies detailing the performance, security protocols, and operational ranges of these technologies, such as RFID’s ability to localize vehicles with high precision in GPS-less environments and the interference challenges faced by Bluetooth in metropolitan areas. The findings indicate that IoT technologies significantly enhance vehicle safety, efficiency, and user experience through features like forward collision warning, blind-spot detection, and real-time traffic management. RFID systems demonstrate high accuracy in vehicle localization, while V2V and V2I networks facilitate critical data exchange regarding speed, position, and braking, thereby reducing accident risks. However, the review identifies substantial limitations. Security remains a critical concern, as the expansion of connected devices increases the surface area for data breaches and requires robust authentication protocols that current solutions often fail to meet. Additionally, the complexity of IoT systems introduces risks of single-point failures and resource competition among connected devices. The paper also highlights a significant human resource gap, noting a shortage of skilled professionals capable of designing, operating, and maintaining these sophisticated automotive IoT systems. In conclusion, the paper asserts that while IoT is indispensable for the future of the automotive industry—driving advancements in autonomous driving, electric vehicles, and smart infrastructure—its widespread adoption is constrained by security vulnerabilities, technical interoperability issues, and a lack of specialized workforce expertise. The authors suggest that further research is required to develop robust security frameworks and address the educational gaps in IoT engineering to fully realize the potential of connected and autonomous vehicles.
Provenance
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| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | Crossref | — | — | 1 | 2026-06-25 |
| archive | success | canonical_url | — | — | 1 | 2026-06-26 |
| extract | success | cached | — | — | 2 | 2026-06-26 |
| clean | success | clean | — | — | 1 | 2026-06-25 |
| chunk | success | chunk | — | — | 1 | 2026-06-25 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-25 |
| promote | success | — | — | — | 1 | 2026-06-25 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 1 | 2026-06-26 |
| tag | success | vector_similarity | — | — | 6 | 2026-06-25 |
| verify | success | — | — | — | 1 | 2026-06-26 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-26; verification: verified.
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