Data Fusion Algorithm of Power Line Carrier Communication Based on Minimum Spanning Tree Theory. Issue 1 (April 2020)
- Record Type:
- Journal Article
- Title:
- Data Fusion Algorithm of Power Line Carrier Communication Based on Minimum Spanning Tree Theory. Issue 1 (April 2020)
- Main Title:
- Data Fusion Algorithm of Power Line Carrier Communication Based on Minimum Spanning Tree Theory
- Authors:
- Lu, Hai
He, Ziyang
Pen, Haibo
Yang, Ting - Abstract:
- Abstract: With the expansion of the clean energy photovoltaic power generation systems, the requirements of communication and data exchange capacity become higher and higher. The status information of each photovoltaic unit should be collected. However, when the number of PV units is too large or the collection frequency is too high, it will generate huge amount of data to the communication system. If each monitoring terminals transmits the data to the master station independently, the huge traffic flows occupy bandwidth and reduce the communication efficiency, which also affect the real-time monitoring of the photovoltaic system. To solve this problem, this paper proposed a novel data fusion algorithm for power line carrier communication based on minimum spanning tree transmission path. The data fusion packet format is also presented. Finally, the effectiveness of the proposed algorithm is proved by comparing the amount of data brought by the fusion algorithm and the non-fusion algorithm.
- Is Part Of:
- IOP conference series. Volume 461:Issue 1(2020)
- Journal:
- IOP conference series
- Issue:
- Volume 461:Issue 1(2020)
- Issue Display:
- Volume 461, Issue 1 (2020)
- Year:
- 2020
- Volume:
- 461
- Issue:
- 1
- Issue Sort Value:
- 2020-0461-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-04
- Subjects:
- Earth sciences -- Periodicals
Environmental sciences -- Congresses
Environmental sciences -- Periodicals
550.5 - Journal URLs:
- http://iopscience.iop.org/1755-1315 ↗
http://ioppublishing.org/ ↗ - DOI:
- 10.1088/1755-1315/461/1/012075 ↗
- Languages:
- English
- ISSNs:
- 1755-1307
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4565.243000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25417.xml