Abstract
Random network coding (RNC) is an efficient coding scheme to improve the performance of wireless multicast networks, especially for the IoT network with multiple devices. Meanwhile, energy-efficient transmission is also an insistent demand in IoT network. Therefore, in this paper, we considered the heterogenous wireless channels of the devices caused by the transmitting distances and analyzed the energy consumption of overall network by using adaptive random network coding (ARNC). Then, we proposed a new power control metric that both considered the energy consumption and the network throughput. Based on the new metric, we optimized the transmitting power of the BS and proposed an energy-efficient ARNC scheduling based on power control to improve quality of service. The simulation results also showed the effectiveness of the optimization and proposed methods compared with the traditional methods.
This work is partially supported by NSFC (Nos. 61601365, 61571370, 61801388), Key Research and Development Plan in Shaanxi Province (Nos. 2017ZDXM-GY-101), the Fundamental Research Funds for the Central Universities (3102017OQD091 and 3102017GX08003), and in part by the China Postdoctoral Science Foundation (BX20180262).
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Li, B., Jiang, H., Chen, C. (2019). Energy-Efficiency Random Network Coding Scheduling Based on Power Control in IoT Networks. In: Li, B., Yang, M., Yuan, H., Yan, Z. (eds) IoT as a Service. IoTaaS 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 271. Springer, Cham. https://doi.org/10.1007/978-3-030-14657-3_42
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DOI: https://doi.org/10.1007/978-3-030-14657-3_42
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