Energy and Delay Aware Task Assignment Mechanism for UAV-Based IoT Platform

• Published in: IEEE internet of things journal Vol. 6; no. 4; pp. 6523 - 6536
• Main Authors: Motlagh, Naser Hossein, Bagaa, Miloud, Taleb, Tarik
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.08.2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Delay; Drone; Energy consumption; game theory; Internet of Things; Internet of Things (IoT); linear integer problem (LIP); Missions; Optimization; Payloads; Performance evaluation; Robustness (mathematics); Sensors; system orchestrator (SO); Task analysis; Tradeoffs; UAV selection mechanism; unmanned aerial system (UAS); unmanned aerial vehicle (UAV); Unmanned aerial vehicles
• ISSN: 2327-4662; 2327-4662
• DOI: 10.1109/JIOT.2019.2907873

Unmanned aerial vehicles (UAVs) are gaining much momentum due to the vast number of their applications. In addition to their original missions, UAVs can be used simultaneously for offering value added Internet of Things services (VAIoTS) from the sky. VAIoTS can be achieved by equipping UAVs with suitable Internet of Things (IoT) payloads and organizing UAVs' flights using a central system orchestrator (SO). SO holds the complete information about UAVs, such as their current positions, their amount of energy, their intended use-cases or flight missions, and their onboard IoT device(s). To ensure efficient VAIoTSs, there is a need for developing a smart mechanism that would be executed at the SO in order to take into account two major factors: 1) the UAVs' energy consumption and 2) the UAVs' operation time. To effectively implement this mechanism, this paper presents three complementary solutions, named energy aware UAV selection (EAUS), delay aware UAV selection (DAUS), and fair tradeoff UAV selection (FTUS), respectively. These solutions use linear integer problem (LIP) optimizations. While the EAUS solution aims to reduce the energy consumption of UAVs, the DAUS solution aims to reduce the operational time of UAVs. Meanwhile, FTUS uses a bargaining game to ensure a fair tradeoff between the energy consumption and the operation time. The results obtained from the performance evaluations demonstrate the efficiency and the robustness of the proposed schemes. Each solution demonstrates its efficiency at achieving its planned goals.