UAV-AGV cooperated remote toxic gas sensing and automated alarming scheme in smart factory

IF 4.5 3区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Computer Communications Pub Date : 2024-08-08 DOI:10.1016/j.comcom.2024.08.005
Md Masuduzzaman , Ramdhan Nugraha , Soo Young Shin
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Abstract

This study introduces the innovative concepts of the cooperation between unmanned aerial vehicles (UAVs) and automated guided vehicles (AGVs) in remote toxic gas sensing and alarming schemes in a smart factory. Initially, the UAV is dispatched in different directions to detect toxic gas leakage on the fly in the smart factory premises. However, due to the UAVs’ concern about smokeless and high-density gas detection capabilities, AGVs are proposed to cooperate with UAVs in the smart factory, especially in the basement areas. Because of their limited computational power, UAVs and AGVs securely transfer sensor data to a nearby multi-access edge computing (MEC) server for processing. A hybrid cryptographic technique and unique data authentication mechanisms are exploited to ensure security while transmitting the data in this proposed scheme. Subsequently, the MEC server automatically triggers an emergency alarm during toxic gas leakage to alert all the employees inside the boundaries of the smart factory. The implementation results exhibit that the proposed scheme can successfully sense toxic gas leakage using UAVs and AGVs, securely transfer the data to the MEC server to process, and enhance the overall quality of service compared with the other existing literature. Finally, the outcome analysis demonstrates that the proposed scheme is more worthwhile and has distinctive features than other literary works.

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智能工厂中的无人机-AGV 协同远程有毒气体感应和自动报警方案
本研究介绍了无人驾驶飞行器(UAV)与自动导引车(AGV)在智能工厂有毒气体远程感应和报警方案中的创新合作理念。最初,无人驾驶飞行器被派往不同方向,对智能工厂厂房内的有毒气体泄漏情况进行即时检测。然而,由于无人机对无烟和高密度气体检测能力的担忧,建议 AGV 在智能工厂中与无人机合作,尤其是在地下室区域。由于无人机和 AGV 的计算能力有限,因此要将传感器数据安全地传输到附近的多访问边缘计算(MEC)服务器进行处理。本方案采用混合加密技术和独特的数据认证机制来确保数据传输的安全性。随后,MEC 服务器会在有毒气体泄漏时自动触发紧急警报,提醒智能工厂边界内的所有员工。实施结果表明,与其他现有文献相比,本文提出的方案能够利用无人机和 AGV 成功感知有毒气体泄漏,并安全地将数据传输到 MEC 服务器进行处理,同时提高了整体服务质量。最后,结果分析表明,与其他文献相比,所提出的方案更有价值和特色。
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来源期刊
Computer Communications
Computer Communications 工程技术-电信学
CiteScore
14.10
自引率
5.00%
发文量
397
审稿时长
66 days
期刊介绍: Computer and Communications networks are key infrastructures of the information society with high socio-economic value as they contribute to the correct operations of many critical services (from healthcare to finance and transportation). Internet is the core of today''s computer-communication infrastructures. This has transformed the Internet, from a robust network for data transfer between computers, to a global, content-rich, communication and information system where contents are increasingly generated by the users, and distributed according to human social relations. Next-generation network technologies, architectures and protocols are therefore required to overcome the limitations of the legacy Internet and add new capabilities and services. The future Internet should be ubiquitous, secure, resilient, and closer to human communication paradigms. Computer Communications is a peer-reviewed international journal that publishes high-quality scientific articles (both theory and practice) and survey papers covering all aspects of future computer communication networks (on all layers, except the physical layer), with a special attention to the evolution of the Internet architecture, protocols, services, and applications.
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