Ocean Wireless Sensor Network Location Method Based on Gradient Boosting Decision Tree

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Abstract: In order to solve the problem of low positioning accuracy of ocean wireless sensor networks (WSNs), a new positioning method based on gradient boosting decision tree (GBDT) is proposed in this paper. Firstly, the average positioning error is defined according to the hop count of the unknown node to the anchor node and the average connectivity degree of the network in this method. Next, the position coordinates of the unknown node are obtained. At the same time, the network topology is optimized. The free-space broadcasting model is used for power control, and signal interference and energy consumption are reduced consequently. A decision tree based on gradient is used to establish an ocean WSN positioning algorithm. Finally, the simulation experiment was out in MATLAB. The relationship among node communication distance, node density, link loss product and positioning error was analyzed. The results show that the method has good adaptability.

Engineering World, E-ISSN: 2692-5079, Volume 2, 2020, Art. #39

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Liqun Liu, Bing Xu, "Ocean Wireless Sensor Network Location Method Based on Gradient Boosting Decision Tree," Engineering World, vol. 2, pp. 258-263, 2020, DOI:
Liqun Liu, Bing Xu. Ocean Wireless Sensor Network Location Method Based on Gradient Boosting Decision Tree. Engineering World. 2020;2:258-263.
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