An efficient energy and completion time for dependent task computation offloading (ET-DTCO) algorithm is proposed, and it considers two quality-of-service (QoS) parameters: efficient energy and completion time offloading for dependent tasks in Industry 4. Abstract: Unmanned Aerial Vehicles (UAVs) hold great promise for Mobile Edge Comput-ing (MEC) owing to their flexible mobility, rapid deployment, and low-cost characteristics. However, UAV-enabled MEC still faces challenges in terms of the real-time arrival of com-putational tasks, energy. III. Preliminaries and technical background IV. Internet of Things (IoT) started to appear in many fields, such as health care and smart cities. Yet, the insufficient onboard battery necessitates the optimization of energy consumption for both the.
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