Sensors, Vol. 18, Pages 3173: Resource Allocation in Wireless Powered IoT System: A Mean Field Stackelberg Game-Based Approach

Sensors, Vol. 18, Pages 3173: Resource Allocation in Wireless Powered IoT System: A Mean Field Stackelberg Game-Based Approach
Sensors doi: 10.3390/s18103173
Authors:
Jingtao Su
Haitao Xu
Ning Xin
Guixing Cao
Xianwei Zhou

The IoT system has become a significant component of next generation networks, and drawn a lot of research interest in academia and industry. As the sensor nodes in the IoT system are always battery-limited devices, the power control problem is a serious problem in the IoT system which needs to be solved. In this paper, we research the resource allocation in the wireless powered IoT system, which includes one hybrid access point (HAP) and many wireless sensor nodes, to obtain the optimal power level for information transmission and energy transfer simultaneously. The relationship between the HAP and the sensor nodes are formulated as the Stackelberg game, and the dynamic variations of the energy for both the HAP and IoT devices are formulated through the dynamic game with mean field control. Then the power control in the wireless powered IoT system is formulated as a mean field Stackelberg game model. We aim to minimize the transmission cost for each sensor node based on optimally power resource allocation. Meanwhile, we attempt to minimize the energy transfer cost based on power control. As a result, the optimal solutions based on the mean field control of the sensor nodes and the HAP are achieved through dynamic programming theory and the l...

Source: Sensors - September 20, 2018 Category: Biotechnology Authors: Jingtao Su Haitao Xu Ning Xin Guixing Cao Xianwei Zhou Tags: Article Source Type: research