Renewable Energy Powered IoT Data Traffic Aggregation for Edge Computing
With the development of the Internet of Things (IoT) industry and the arrival of the 5G era, edge computing is considered to be the more suitable computing technology for the IoT. In this paper, we propose an edge-computing-based M2M data aggregation wireless transmission system powered by efficient renewable energy allocation servicing for the edge devices. The pricing scheme problem is formulated as a Stackelberg game between the operator and multi-RPSs. Simulation results show how the previous pricing scheme and bandwidth of each node affect the renewable energy storage levels of each RPS and his own profit. The results also show the operator’s optimal service price scheme and the equilibrium renewable energy storage level of each RPS.
KeywordsEdge computing M2M communication IoT Renewable Energy Supplier (RPS) Pricing scheme Simultaneous decisions Sequential decisions
This work was supported in part by the NSF of Jiangsu Province under Grant BK20161518 and Grant BK20171444, in part by the Open Research Fund of National Mobile Communications Research Laboratory, Southeast University, under Grant 2018D05, in part by the National Natural Science Foundation of China under Grant 61772287, Grant 61771252, and in part by the Open Research Fund of Jiangsu Engineering Research Center of Communication and Network Technology, NJUPT.
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