{"title":"Guest Editorial of the Special Section on Secure Artificial Intelligence in 6G Consumer Electronics","authors":"Shalli Rani;Celestine Iwendi;Syed Hassan Shah;Ali Kashif Bashir","doi":"10.1109/TCE.2024.3447072","DOIUrl":null,"url":null,"abstract":"Unmanned aerial vehicles (UAVs) with AI-enabled logistics are gradually demonstrating their special benefits for upcoming smart cities. However, current research on logistics UAV path planning fails to take into account the limits on UAV energy consumption, customer time windows, and the effects of wind direction and speed at the same time. As a result, we study how wind direction and speed affect UAV flight states, determine relevant parameters and how wind conditions affect them, and explore the logistics problem of UAV path planning that simultaneously takes into account the constraints on UAV energy consumption, customer time windows, and wind conditions [1]. The ubiquitous monitoring and intelligent control capabilities of the Internet of Things (IoT) are mainly dependent on inexpensive wireless sensors with low energy consumption. Nevertheless, remote terminals that are not covered by wireless can be connected to IoT networks using unmanned aerial vehicles (UAVs). With the help of this solution, IoT networks may reach a wider audience and have more options for control and monitoring. Notwithstanding this advantage, the UAV’s onboard battery has a modest capacity [2].","PeriodicalId":13208,"journal":{"name":"IEEE Transactions on Consumer Electronics","volume":"70 3","pages":"5698-5701"},"PeriodicalIF":4.3000,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Consumer Electronics","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10799008/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Unmanned aerial vehicles (UAVs) with AI-enabled logistics are gradually demonstrating their special benefits for upcoming smart cities. However, current research on logistics UAV path planning fails to take into account the limits on UAV energy consumption, customer time windows, and the effects of wind direction and speed at the same time. As a result, we study how wind direction and speed affect UAV flight states, determine relevant parameters and how wind conditions affect them, and explore the logistics problem of UAV path planning that simultaneously takes into account the constraints on UAV energy consumption, customer time windows, and wind conditions [1]. The ubiquitous monitoring and intelligent control capabilities of the Internet of Things (IoT) are mainly dependent on inexpensive wireless sensors with low energy consumption. Nevertheless, remote terminals that are not covered by wireless can be connected to IoT networks using unmanned aerial vehicles (UAVs). With the help of this solution, IoT networks may reach a wider audience and have more options for control and monitoring. Notwithstanding this advantage, the UAV’s onboard battery has a modest capacity [2].
期刊介绍:
The main focus for the IEEE Transactions on Consumer Electronics is the engineering and research aspects of the theory, design, construction, manufacture or end use of mass market electronics, systems, software and services for consumers.