Around the world, the concept of a smart city is becoming an increasingly important research area. The amount of data collected and the number of mounted sensors, the surveillance equipment, and other gadgets that must be installed in a smart city are so large that using a mobile platform to monitor and keep replacing them can save effort and materials. Currently, people are experiencing rapid evolution in every field, owing to continuing developments in communication technology and other advances such as fully independent autonomous drones. These developments have already led to an improvement in people's lives, such as in wellbeing or quality of life, in the energy sector, in the shipping industry, in the supervision and surveillance guidelines for large households and commercial projects. As such, this chapter discusses the assimilation of the most widely used communication technology trend, the Internet of things (IoT), with drones or unmanned aerial vehicles (UAVs). The uses of IoT in UAVs to examine numerous buildings in smart cities are evaluated and the use of such IoT‐enabled self‐governing aerial vehicles is reinforced for guaranteeing smart city applications and safety measures. The chapter also describes the important drawbacks and limitations of conventional technologies for the same reason, such as optimization methods in trajectory tracking, portable artificial intelligence (AI) and machine vision methodologies, collaboration in IoT correspondence, and network infrastructure scalability. Here, we suggest an open‐source smart IoT technology that would enable the deployment of a variety of sensible or smart city services, including smart homes, smart unmanned drones, smart energy grids, smart transportation networks, and other prospective services that could be developed in response to market demands. We hope that readers will find the discussions on multiple open research issues relevant and helpful.


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    Title :

    Drones Enable IoT Applications for Smart Cities



    Published in:

    Publication date :

    2023-05-22


    Size :

    35 pages




    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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