Communication Bandwidth Prediction Technology for Smart Power Distribution Business in Smart Parks
Accurate prediction of power business communication bandwidth is the premise for the effectiveness of power communication planning and the fundamental guarantee for regular operation of power businesses. To solve the problem of scientifically and reasonably allocating bandwidth resources in smart pa...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-12-01
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| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/10/24/3143 |
| _version_ | 1797505196741361664 |
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| author | Xia Zhou Jianqiang Lu Xiangpeng Xie Chengjie Bu Lei Wan Feng Xue |
| author_facet | Xia Zhou Jianqiang Lu Xiangpeng Xie Chengjie Bu Lei Wan Feng Xue |
| author_sort | Xia Zhou |
| collection | DOAJ |
| description | Accurate prediction of power business communication bandwidth is the premise for the effectiveness of power communication planning and the fundamental guarantee for regular operation of power businesses. To solve the problem of scientifically and reasonably allocating bandwidth resources in smart parks, communication bandwidth prediction technology of intelligent power distribution service for smart parks is proposed in this paper. First, the characteristics of mixed service data arrival rate of power distribution and communication mixed services in smart parks were analyzed. Poisson process and interrupted Poisson process were used to simulate periodic and sudden business of smart parks to realize accurate simulation of the business arrival process. Then, a service arrival rate model based on the Markov modulation Poisson process was constructed. An active buffer management mechanism was used to dynamically discard data packets according to the set threshold and achieve accurate simulation of the packet loss rate during the arrival of smart park business. At the same time, considering the communication service quality index and bandwidth resource utilization, a business communication bandwidth prediction model of smart parks was established to improve the accuracy of business bandwidth prediction. Finally, a smart power distribution room in a smart park was used as an application scenario to quantitatively analyze the relationship between the communication service quality and bandwidth configuration. According to the predicted bandwidth, the reliability and effectiveness of the proposed method were verified by comparison with the elastic coefficient method. |
| first_indexed | 2024-03-10T04:15:10Z |
| format | Article |
| id | doaj.art-907cde2104e141ccb93893d1af53262f |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-10T04:15:10Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-907cde2104e141ccb93893d1af53262f2023-11-23T08:02:43ZengMDPI AGElectronics2079-92922021-12-011024314310.3390/electronics10243143Communication Bandwidth Prediction Technology for Smart Power Distribution Business in Smart ParksXia Zhou0Jianqiang Lu1Xiangpeng Xie2Chengjie Bu3Lei Wan4Feng Xue5Institute of Advanced Technology, Nanjing University of Post and Telecommunication, Nanjing 210032, ChinaInstitute of Advanced Technology, Nanjing University of Post and Telecommunication, Nanjing 210032, ChinaInstitute of Advanced Technology, Nanjing University of Post and Telecommunication, Nanjing 210032, ChinaInstitute of Advanced Technology, Nanjing University of Post and Telecommunication, Nanjing 210032, ChinaInstitute of Advanced Technology, Nanjing University of Post and Telecommunication, Nanjing 210032, ChinaNARI Group Corporation, State Grid Electric Power Research Institute, Nanjing 211106, ChinaAccurate prediction of power business communication bandwidth is the premise for the effectiveness of power communication planning and the fundamental guarantee for regular operation of power businesses. To solve the problem of scientifically and reasonably allocating bandwidth resources in smart parks, communication bandwidth prediction technology of intelligent power distribution service for smart parks is proposed in this paper. First, the characteristics of mixed service data arrival rate of power distribution and communication mixed services in smart parks were analyzed. Poisson process and interrupted Poisson process were used to simulate periodic and sudden business of smart parks to realize accurate simulation of the business arrival process. Then, a service arrival rate model based on the Markov modulation Poisson process was constructed. An active buffer management mechanism was used to dynamically discard data packets according to the set threshold and achieve accurate simulation of the packet loss rate during the arrival of smart park business. At the same time, considering the communication service quality index and bandwidth resource utilization, a business communication bandwidth prediction model of smart parks was established to improve the accuracy of business bandwidth prediction. Finally, a smart power distribution room in a smart park was used as an application scenario to quantitatively analyze the relationship between the communication service quality and bandwidth configuration. According to the predicted bandwidth, the reliability and effectiveness of the proposed method were verified by comparison with the elastic coefficient method.https://www.mdpi.com/2079-9292/10/24/3143smart parkcommunication bandwidth forecastqueuing theoryMarkov modulated Poisson processcache group management |
| spellingShingle | Xia Zhou Jianqiang Lu Xiangpeng Xie Chengjie Bu Lei Wan Feng Xue Communication Bandwidth Prediction Technology for Smart Power Distribution Business in Smart Parks Electronics smart park communication bandwidth forecast queuing theory Markov modulated Poisson process cache group management |
| title | Communication Bandwidth Prediction Technology for Smart Power Distribution Business in Smart Parks |
| title_full | Communication Bandwidth Prediction Technology for Smart Power Distribution Business in Smart Parks |
| title_fullStr | Communication Bandwidth Prediction Technology for Smart Power Distribution Business in Smart Parks |
| title_full_unstemmed | Communication Bandwidth Prediction Technology for Smart Power Distribution Business in Smart Parks |
| title_short | Communication Bandwidth Prediction Technology for Smart Power Distribution Business in Smart Parks |
| title_sort | communication bandwidth prediction technology for smart power distribution business in smart parks |
| topic | smart park communication bandwidth forecast queuing theory Markov modulated Poisson process cache group management |
| url | https://www.mdpi.com/2079-9292/10/24/3143 |
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