Transactions of China Electrotechnical Society  2020, Vol. 35 Issue (23): 4912-4919    DOI: 10.19595/j.cnki.1000-6753.tces.191623
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Improved Framed Slot ALOHA Algorithm of Parallel Identification for Substation Signals in IoT Environment
Wang Hongliang1, Shu Hongchun1, Zhou Jie2
1. Faculty of Electric Power Engineering Kunming University of Science and Technology Kunming 650500 China;
2. Kunming Power Supply Bureau Yunnan Power Grid Co. Ltd Kunming 650500 China

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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 wordsInternet 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. 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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