Abstract
Wireless devices in Internet of Things (IoT) applications, such as wireless sensors and Radio Frequency Identifications (RFIDs), are faced with challenges of heavy computation tasks and limited energy, which can be solved by the importation of mobile edge computing (MEC) and wireless power transfer (WPT) techniques. As MEC can effectively enhance computation capability, and the wireless power transfer can ensure a sustainable supply of energy, it has drawn significant research interest in IoT applications. In this paper, we will study the resource allocation problem in the wireless-powered MEC system for IoT applications with one access point (AP) and many other wireless devices, and propose a Stackelberg dynamic game model to obtain the optimal allocated resource for the nodes in the IoT environment. The AP is a wireless power source that can charge wireless devices based on wireless power transfer techniques. The AP is also integrated with a MEC server that can carry out computation tasks that offload from wireless devices. The wireless devices can use the harvested energy to execute and offload computation tasks to the AP. Based on the proposed game model, the AP and wireless devices can control their optimal transmit power for energy transfer, and computation tasks offloading to the AP, respectively. The numerical simulation results show the correctness and effectiveness of the proposed model.
Highlights
The Internet of Things (IoT) [1] is a physical representation of the Internet that can cover everything in the physical world
In order to provide mobile edge computing (MEC) services, the access point (AP) is integrated with a MEC server that can carry out computation tasks offloading from wireless devices
The third part is the attempted costs of ensuring the energy state is no lower than a threshold x ap, in order to have a minimum energy that provides edge computing services for different kinds of wireless devices served by the MEC server
Summary
The Internet of Things (IoT) [1] is a physical representation of the Internet that can cover everything in the physical world. The literature [19] used cooperative computation offloading for unmanned aerial vehicles (UAVs) to reduce energy consumption and task execution latency through convex optimization They did not consider the problem of insufficient energy in a wireless device’s battery. According to the energy harvesting causal constraint and the UAV’s speed constraint, the literature [23] studied the maximization of the computation rate in a UAV-enabled MEC wireless-powered system They considered the wireless power supply system, they did not study the dynamic game equilibrium problem between the wireless energy transfer and the computation offloading in the wireless powered. A Stackelberg dynamic game model is proposed to formulate the resource allocation problem in wireless powered MEC systems for IoT applications.
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