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首页> 外文期刊>Journal of ambient intelligence and humanized computing >Cloud-based robotic system for crowd control in smart cities using hybrid intelligent generic algorithm
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Cloud-based robotic system for crowd control in smart cities using hybrid intelligent generic algorithm

机译：基于云的机器人系统，用于使用混合智能通用算法在智能城市中的人群控制

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摘要

In recent years, cloud robotics in smart cities emerged with the technology of cloud computing and robotic enabled services such as ubiquitous computing based on internet resources, wireless sensor network, communication technologies, and large scale storage system for smart systems. The Internet of things is a complement to generate an enhanced system where robots offload the pervasive cloud to ensure the quality of the service from the data-intensive computation. In general the robots offloading is a crucial issue because of their skill learning, decision-making capabilities, a unique feature of mobility, and data collection. In this paper, a cloud-based robotic system for the crowd control system in smart cities using the hybrid intelligent generic algorithm has been proposed for smart crowd management. The cloud enhanced robots are employed to execute the essential task while taking into consideration of different complexity in a smart city. Furthermore, the integrated framework has been introduced to handling the task offloading and task completion through the robotics movement with minimum time and energy. The experimental results shows that the proposed system achieves powerful computation, storage, energy-efficient and reduce the cost with the help of cloud computing for smart city management.
机译：近年来，智能城市的云机器人凭借云计算和机器人支持的服务，如普遍存在的基于互联网资源，无线传感器网络，通信技术和智能系统的大型存储系统。事物互联网是生成增强系统的补充，其中机器人卸载普遍的云，以确保从数据密集型计算中的服务质量。通常，机器人卸载是一个至关重要的问题，因为他们的技能学习，决策能力，移动性的独特特征以及数据收集。本文提出了一种基于智能城市中使用混合智能通用算法的人群控制系统的基于云控制系统的机器人系统，用于智能人群管理。云增强的机器人用于执行基本任务，同时考虑到智能城市的不同复杂性。此外，已经引入了集成框架以处理通过具有最小时间和能量的机器人运动来处理任务卸载和任务完成。实验结果表明，在智能城市管理的云计算的帮助下，所提出的系统实现了强大的计算，存储，节能，降低了成本。

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