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.
CITATION STYLE
Peng, C., Li, D., Tian, F., & Guo, Y. (2020). Renewable energy powered iot data traffic aggregation for edge computing. In Lecture Notes in Electrical Engineering (Vol. 517, pp. 861–869). Springer Verlag. https://doi.org/10.1007/978-981-13-6508-9_105
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