物联网环境下变电站信号可并行识别的改进帧时隙ALOHA算法

doi:10.19595/j.cnki.1000-6753.tces.191623

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Abstract This paper first constructed a mountain substation monitoring system in IoT environment, studied the traditional frame slot ALOHA algorithm and carried out simulation and efficiency analysis in order to solve the collision problem of monitoring signals in mountain substations. In view of the low throughput and limitation of the algorithm, the improved frame slot ALOHA algorithm was studied and simulation and recognition efficiency analysis was carried out. However, when the monitoring semaphore continues to increase, the success rate of signal recognition will be reduced sharply, resulting in a safe operation problem. Then the second improved frame slot ALOHA algorithm was studied, and the substation IoT test platform was built. Finally, the simulation proved that the throughput remains relatively stable as the semaphore increases, so the probability of successful identification with monitoring signal of mountain substation is improved, and the safety of the substation is guaranteed.

Key words： Internet of things(IoT) mountain substation collision parallel recognition improved ALOHA algorithm

Received: 22 November 2019

PACS:

TM769

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	Wang Hongliang
	Shu Hongchun
	Zhou Jie

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Wang Hongliang,Shu Hongchun,Zhou Jie. Improved Framed Slot ALOHA Algorithm of Parallel Identification for Substation Signals in IoT Environment[J]. Transactions of China Electrotechnical Society, 2020, 35(23): 4912-4919.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.191623 OR https://dgjsxb.ces-transaction.com/EN/Y2020/V35/I23/4912

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