UAV Selection for a UAV-based Integrative IoT Platform

Naser Hossein Motlagh, Miloud Bagaa, Tarik Taleb

Research output: Contribution to conferencePaperScientific


This paper, presents a UAV-based integrative IoT platform that leverages UAVs to deliver different IoT services from height. One of the major tasks of the platform is to select the appropriate UAVs. This selection may be based on different criteria, such as UAVs equipment, energy budget, geographical proximity of the UAV to the area of interest, etc. For the selection mechanism, this paper proposes and formulates two Linear Integer Problem (LIP) optimization solutions by aiming at minimizing the energy consumption and shortening the UAV operation time. For the solutions, Energy Aware Selection of UAVs (EAS) and Delay Aware Selection of UAVs (DAS) are evaluated through simulation. The results show that if the objective is the energy, EAS is more efficient than DAS in case of total energy consumption by the UAVs. Additionally, if the time is the objective, DAS has higher performance than EAS in case of operation time.
Original languageEnglish
Number of pages6
Publication statusPublished - Dec 2016


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