Abstract: Mobile edge computing (MEC) is a game-changing technology that has transformed the automotive network environment. Its integration into automotive networks has opened up a new universe of possibilities, dramatically altering how connected and autonomous vehicles operate. We will dig into the principles of MEC, its practical deployment in automotive infrastructure, and its exceptional adaptability to overcome difficulties that the automotive network encounters in this in-depth research. To reduce latency and enhance vehicle-to-vehicle and vehicle-to-infrastructure communications, MEC's fundamental technology leverages the capabilities of edge computing to move computation resources closer to the data source. This architectural revolution has ushered in a new era of car connection and intelligence, enabling real-time traffic management, ultra-low latency communication, immersive augmented reality experiences, and automated, data-driven decision-making. MEC is a crucial technology for the future of transportation because of its enormous potential to revolutionise the automobile sector. Even yet, MEC faces difficulties since tremendous promise also comes with enormous responsibility. Issues that require special attention include effective resource allocation and lowering network congestion. We not only identify these issues in this post, but we also give innovative ideas and practical methods to solve them. Reaching MEC's full potential requires ensuring that it is seamlessly integrated into the vehicle network. We're going to go over a thorough analysis of use cases and actual deployments to demonstrate how MEC can be of assistance. These case studies will demonstrate how MEC may optimise traffic management, increase vehicle safety, and improve the overall driving experience. We seek to offer a clear picture of how MEC might alter the automotive environment by looking at these actual examples. Looking ahead, we will highlight new trends and interesting research initiatives that will help to improve the synergy between MEC and transport networks. MEC's capabilities will expand along with technology, offering up new options for innovation and advancement. In conclusion, this study emphasises Mobile Edge Computing's critical role in altering the automobile network environment. It serves as a road map for academics, practitioners, and policymakers to fully realise MEC's promise, resulting in a safer, more efficient, and smarter automotive environment. connected. MEC's influence on the car industry will undoubtedly be transformative as it grows and matures, ushering in a new era of mobility and connection.
Keywords: Mobile Edge Computing (MEC), Vehicular Networks, Connectivity, Low Latency, Autonomous Vehicles, Edge-based Applications.
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DOI:
10.17148/IJARCCE.2024.13388
