Md Masuduzzaman , Ramdhan Nugraha , Soo Young Shin
{"title":"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","authors":"Md Masuduzzaman , Ramdhan Nugraha , Soo Young Shin","doi":"10.1016/j.comcom.2024.08.005","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":55224,"journal":{"name":"Computer Communications","volume":"226 ","pages":"Article 107923"},"PeriodicalIF":4.5000,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"UAV-AGV cooperated remote toxic gas sensing and automated alarming scheme in smart factory\",\"authors\":\"Md Masuduzzaman , Ramdhan Nugraha , Soo Young Shin\",\"doi\":\"10.1016/j.comcom.2024.08.005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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.</p></div>\",\"PeriodicalId\":55224,\"journal\":{\"name\":\"Computer Communications\",\"volume\":\"226 \",\"pages\":\"Article 107923\"},\"PeriodicalIF\":4.5000,\"publicationDate\":\"2024-08-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computer Communications\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0140366424002627\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Communications","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0140366424002627","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
UAV-AGV cooperated remote toxic gas sensing and automated alarming scheme in smart factory
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.
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.