Recently, various technologies for utilizing unmanned aerial vehicles have been studied. Drones are a kind of unmanned aerial vehicle. Drone-based mobile surveillance systems can be applied for various purposes such as object recognition or object tracking. In this paper, we propose a mobility-aware dynamic computation offloading scheme, which can be used for tracking and recognizing a moving object on the drone. The purpose of the proposed scheme is to reduce the time required for recognizing and tracking a moving target object. Reducing recognition and tracking time is a very important issue because it is a very time critical job. Our dynamic computation offloading scheme considers both the dwell time of the moving target object and the network failure rate to estimate the response time accurately. Based on the simulation results, our dynamic computation offloading scheme can reduce the response time required for tracking the moving target object efficiently.
By using drones as mobile IoT gateways in wireless sensor networks, data collection can be possible even in areas where IoT wireless communication is not available. A drone can move near the rendezvous node of the wireless sensor networks and receive the collected data from the node. Then, the drone moves to an area where IoT wireless communication is possible and transfers the data to the IoT server. Because drones operate as a battery, it is important to optimize the energy consumption. Existing research reduces the drone's energy consumption by minimizing flight distance using predetermined information such as the orbit, sensor location and network topology. However, if data collection fails, the additional flying distance of the drone increases dramatically and energy consumption also increases. It is important to increase the success rate of data collection. In this paper, we propose a dynamic rendezvous node estimation scheme, taking into account the average of drone speed and data collection latency without predetermined information. Simulation results show that the proposed scheme is more reliable in terms of the data collection success rate.INDEX TERMS Data collecting, drone, IoT gateway, rendezvous node, wireless sensor networks.
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