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المؤلفGedawy, Hend
المؤلفAl-Ali, Abdulla
المؤلفMohamed, Amr
المؤلفErbad, Aiman
المؤلفGuizani, Mohsen
تاريخ الإتاحة2022-11-10T09:04:56Z
تاريخ النشر2021-01-01
اسم المنشور2021 International Wireless Communications and Mobile Computing, IWCMC 2021
المعرّفhttp://dx.doi.org/10.1109/IWCMC51323.2021.9498662
الاقتباسGedawy, H., Al-Ali, A., Mohamed, A., Erbad, A., & Guizani, M. (2021, June). UAVs smart heuristics for target coverage and path planning through strategic locations. In 2021 International Wireless Communications and Mobile Computing (IWCMC) (pp. 278-284). IEEE.‏
الترقيم الدولي الموحد للكتاب 9781728186160
معرّف المصادر الموحدhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85125675678&origin=inward
معرّف المصادر الموحدhttp://hdl.handle.net/10576/36079
الملخصThe affordability and deployment-flexibility of Unmanned Air Vehicles (UAVs) have ignited the development of many smart applications, including surveillance, disaster management, and smart farming. Drone's energy consumption is a critical issue and it can be controlled through different factors, depending on the application. One approach is to minimize energy consumption by defining a minimal number of strategic target-coverage locations that the drone needs to traverse and efficiently plan the drone's route through these locations. In this paper, we provide solutions that efficiently allow UAVs to cover multiple targets using their cameras. These solutions identify a minimum set of strategic locations that cover the targets and plan the drone's routes across these locations. We address the problem with the objective of minimizing the total energy consumed by the drone during its mission. We model the problem as mixed-integer programming problem and provide a set of heuristics; with and without target clustering. We evaluate the system using simulations. The results indicate the significance of clustering in minimizing the number of strategic locations and saving the drone's energy. Moreover, flexibility in selecting cluster centers provides further reduction in the strategic locations and energy consumption.
راعي المشروعThis publication was supported by Qatar university Internal Grant No. QUHI-CENG-20/21-1.
اللغةen
الناشرInstitute of Electrical and Electronics Engineers Inc.
الموضوعClustering-based techniques
Coverage
Drones
Energy efficiency
Path planning
Unmanned air vehicles
العنوانUAVs Smart heuristics for Target Coverage and Path Planning Through Strategic Locations
النوعConference Paper
dc.accessType Abstract Only


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