Yongxiu He, Xiong Wei, Rui Zhang, Yi-Er Sun, Tian-Tian Feng, and Binyou Yang. Blockchain-based 3D Self-positioning of Power Line Carrier Network Nodes. Dynamic Systems and Applications 29 (2020) No. 9, 2858 – 2878

https://doi.org/10.46719/dsa20202998

ABSTRACT.
The traditional 3D self-positioning method of power line carrier network nodes ignores the non-linear change of positioning data, resulting in big positioning error, small extent of coverage and large energy consumption in the positioning process. Therefore, a blockchain-based 3D self-positioning method of power line carrier network nodes is proposed. By analyzing the time-varying characteristics of power line carrier network, the topology of power line carrier network nodes under the condition of good line and bad line is obtained. On this basis, the blockchain technology is used for distributed storage of power line carrier network data. The features of power line carrier network nodes stored in Merkle tree are extracted, the feature weights are calculated, and the congestion nodes are compensated to restrain the chaotic nodes. According to the characteristics of the blockchain, the range-based positioning algorithm is adopted to calculate the location relationship of the network nodes, the 2D coordinates of un-positioning nodes are obtained by using trilateration method, and then 2D coordinates are converted into 3D coordinates by combining the 3D-centriod method, so as to complete the 3D self-positioning of the network nodes. The simulation results show that the proposed method effectively improves the performance of power line carrier network due to its small positioning error, low energy consumption and wide extent of coverage.

Keywords: blockchain; power line carrier; network node; 3D self-positioning; range-based.