A Comparative Analysis of Deadlock Avoidance and Prevention Algorithms for Resource Provisioning in Intelligent Autonomous Transport Systems Over 6G Infrastructure
نویسندگان
چکیده
6G is the future of intelligent connectivity artefacts with Artificial Intelligence (AI) at its backbone. The Multi-Access Edge Computing (MEC) based enabled infrastructure helps in achieving required zero latency for autonomous Intelligent Transport Systems (ITS) features low power consumption, lower end-to-end latency, minimal processing/transmission overheads, higher throughput and reliability. MEC are prone to a deadlock due limited amount available computational resources, resulting fatal delays Vehicle-to-Vehicle (V2V), Vehicles Road Side Unit (RSU) RSU ITS communication. unresolved may entail energy consumption that can adversely affect Quality Service (QoS) terms safety reliability potential threats causing accidents. Therefore, it almost imperative resolve deadlocks from comply QoS parameters vehicles. asserted goals be achieved by employing an adaptive resolution strategy. In this paper, deadlock-aware, collaborative edge decision algorithm has been proposed facilitating seamless communication vehicles over MEC. Additionally, avoidance prevention schemes have evaluated using Bankers resource request algorithm, wound wait wait-die algorithms provisioning Furthermore, effectiveness real-time scenarios analyzed systems. metrics used comparative analysis research include Round-trip time, Queue wait-time CPU utilization. shows promising results when compared prevalent techniques.
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ژورنال
عنوان ژورنال: IEEE Transactions on Intelligent Transportation Systems
سال: 2023
ISSN: ['1558-0016', '1524-9050']
DOI: https://doi.org/10.1109/tits.2022.3169424