Abstract
Most of the wireless nodes in the Internet of Things (IoT) environment face the limited energy problem and the way to provide a sustainable energy for these nodes has become an urgent challenge. In this paper, we present an unmanned aerial vehicle (UAV) to power the wireless nodes in the IoT and an investigation on the optimal resource allocation approach based on dynamic game theory. This IoT system consists of one UAV as the power source and information receiver. The wireless nodes can be powered and collected by the UAV. In order to distinguish the wireless nodes, the wireless nodes are divided into two categories based on the energy consumption. The UAV tries to power these two categories of nodes using a different power level based on the proposed approach, where the wireless nodes control the resources for information transmission. Based on Bellman dynamic programming, the optimal allocated resources for power transfer and information transmission are obtained for both the UAV and wireless nodes, respectively. In order to show the effectiveness of the proposed model and approach, we present numerical simulations.
Highlights
The Internet of Things (IoT) [1,2,3,4] is playing an important and significant role in the generation mobile communication and wireless networks and is currently used in various services in our daily life
As an important method for sustainable energy supply, wireless power transfer (WPT) technology is regarded as an ideal solution for providing sustainable energy to the wireless devices in the IoT and can effectively solve the bottleneck of the limited energy problem in IoT [7,8]
The energy transferred from the unmanned aerial vehicle (UAV) should be different based on the energy consumption; The resource allocation problem between the UAV and wireless nodes is formulated as a dynamic game
Summary
The Internet of Things (IoT) [1,2,3,4] is playing an important and significant role in the generation mobile communication and wireless networks and is currently used in various services in our daily life. As an important method for sustainable energy supply, wireless power transfer (WPT) technology is regarded as an ideal solution for providing sustainable energy to the wireless devices in the IoT and can effectively solve the bottleneck of the limited energy problem in IoT [7,8]. We research the UAV-assisted wireless-powered IoT and solve the resource allocation problem in the proposed IoT system. The energy transferred from the UAV should be different based on the energy consumption; The resource allocation problem between the UAV and wireless nodes is formulated as a dynamic game. In the proposed dynamic game, the UAV can optimally control its resources for energy transfer, and the wireless nodes can optimally control their resources for information transmission; based on the dynamic game, we have proposed two objective functions for the UAV, which are both formulated as profit maximization functions.
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