Optimization Method of Node Location Accuracy Based on Artificial Intelligence Technology
| العنوان: | Optimization Method of Node Location Accuracy Based on Artificial Intelligence Technology |
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| المؤلفون: | Jianfeng Zhang, Shiyao Wang, Hongshuo Liu |
| المصدر: | IOP Conference Series: Materials Science and Engineering. 750:012091 |
| بيانات النشر: | IOP Publishing, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | Computer science, business.industry, Node (networking), business, Computer network |
| الوصف: | Wireless sensor networks(WSN) are one of the hot topics in current information technology research. With the diversification of wireless sensor network applications and the gradual maturity of node positioning technology for static networks, mobile node positioning technology. In order to find a method for optimizing the positioning accuracy of wireless network nodes based on artificial intelligence technology and improve the positioning accuracy, a large-scale simulation experiment is performed in this paper. After constructing a probabilistic model and conducting a large number of simulation experiments, a series of random variable samples are obtained. After statistical processing of these simulation samples, a solution to the problem is found accordingly. By comparing the average positioning error with the ML algorithm, it is found that the SA-L algorithm using artificial intelligence method has less dependence on the density of beacon nodes, improves the accuracy of network node positioning, and is more suitable for node positioning of WSN. Research shows that artificial intelligence technology can improve the accuracy of network node positioning and provide a lot of reference for the development of wireless networks. |
| تدمد: | 1757-899X 1757-8981 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_________::a9bd4f2e45208837699357cdc9ba3b97Test https://doi.org/10.1088/1757-899x/750/1/012091Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi...........a9bd4f2e45208837699357cdc9ba3b97 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 1757899X 17578981 |
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