arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2007.01156cs.DCeess.SP
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在分布式机器人系统中使用区块链和多访问边缘计算增强自主性

Enhancing Autonomy with Blockchain and Multi-Access Edge Computing in Distributed Robotic Systems

Jorge Peña Queralta, Li Qingqing, Zhuo Zou, Tomi Westerlund

摘要:

这篇概念性论文讨论了当机器人和车辆接入下一代移动网络时,它们的自主操作将如何发生变化。5G及其他连接将无数技术和行业汇集在其保护伞下。通过网络切片提供的高带宽、低延迟边缘计算服务有可能支持不同领域的新应用场景,包括机器人、自动驾驶汽车和物联网。特别是,网络边缘的多租户应用将促进自主机器人和车辆的发展,通过可靠的卸载服务提供计算资源和智能。更多分布式网络架构与分布式机器人系统的集成可以提高连接单元的智能程度和自主水平。我们认为,将服务框架与第三方集成在一起的最后一块将是下一代低延迟区块链网络。区块链将以透明和安全的方式在多访问边缘计算(MEC)层提供服务和管理资源。我们概述了MEC切片,分布式机器人系统和区块链技术的最新技术,以定义MEC层服务的框架,该框架将增强联网机器人和车辆的自主操作。

英文摘要:

This conceptual paper discusses how different aspects involving the autonomous operation of robots and vehicles will change when they have access to next-generation mobile networks. 5G and beyond connectivity is bringing together a myriad of technologies and industries under its umbrella. High-bandwidth, low-latency edge computing services through network slicing have the potential to support novel application scenarios in different domains including robotics, autonomous vehicles, and the Internet of Things. In particular, multi-tenant applications at the edge of the network will boost the development of autonomous robots and vehicles offering computational resources and intelligence through reliable offloading services. The integration of more distributed network architectures with distributed robotic systems can increase the degree of intelligence and level of autonomy of connected units. We argue that the last piece to put together a services framework with third-party integration will be next-generation low-latency blockchain networks. Blockchains will enable a transparent and secure way of providing services and managing resources at the Multi-Access Edge Computing (MEC) layer. We overview the state-of-the-art in MEC slicing, distributed robotic systems and blockchain technology to define a framework for services the MEC layer that will enhance the autonomous operations of connected robots and vehicles.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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