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Informative Article | Science and Technology | India | Volume 10 Issue 4, April 2021 | Popularity: 5.2 / 10

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Edge Computing for Automotive Vehicles: A Pillar in Network Architecture

Sanath Javagal

Abstract: Edge computing has revolutionized the network architecture of automotive systems, particularly in the burgeoning field of Autonomous Vehicles (AVs). This article delves into the transformative role of edge computing in enhancing the operational capabilities, safety, and efficiency of automotive systems and subsystems. By bringing computational power closer to data sources, edge computing facilitates real - time data processing, which is crucial for the instantaneous decision - making required in modern vehicles. We explore how in - vehicle edge nodes, equipped with advanced sensor integrations, support vital functions ranging from real - time decision - making and predictive maintenance to ADAS (advanced driver - assistance systems). Additionally, the article highlights the significance of Vehicle - to - Everything (V2X) communication in this ecosystem, emphasizing its role in traffic management and enhanced vehicular communication. The integration with external networks and cloud infrastructure is also discussed, underlining how edge computing optimizes data management and prioritization. The article further navigates the challenges and prospects of edge computing in vehicles, including standardization, interoperability, and security issues. It concludes by projecting the future of edge computing in the automotive sector, especially in emerging technologies like 5G, AI, and IoT, and it?s potential to drive innovation and transformation in automotive technology. This comprehensive overview underscores edge computing's pivotal role in advancing automotive systems toward more intelligent, efficient, and connected functionalities.

Keywords: Edge Computing, Autonomous Vehicles, V2X Communication, Data Management, Automotive Innovation

Edition: Volume 10 Issue 4, April 2021

Pages: 1364 - 1366

DOI: https://www.doi.org/10.21275/SR231208200839

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