Research Article
Data Anti-jamming Method for Ad Hoc Networks Based on Machine Learning Algorithm
@INPROCEEDINGS{10.1007/978-3-031-50577-5_18, author={Yanning Zhang and Lei Ma}, title={Data Anti-jamming Method for Ad Hoc Networks Based on Machine Learning Algorithm}, proceedings={Multimedia Technology and Enhanced Learning. 5th EAI International Conference, ICMTEL 2023, Leicester, UK, April 28-29, 2023, Proceedings, Part III}, proceedings_a={ICMTEL PART 3}, year={2024}, month={2}, keywords={Machine Learning Algorithm Ad Hoc Network Data Anti-Interference Multichannel Transmission}, doi={10.1007/978-3-031-50577-5_18} }- Yanning Zhang
Lei Ma
Year: 2024
Data Anti-jamming Method for Ad Hoc Networks Based on Machine Learning Algorithm
ICMTEL PART 3
Springer
DOI: 10.1007/978-3-031-50577-5_18
Abstract
The current data anti-jamming methods lack the feature classification process, which leads to poor anti-jamming effect. In order to solve this problem, this paper proposes a data anti-jamming method based on machine learning algorithm for ad hoc networks. First of all, based on machine learning algorithm, the data transmitted in the ad hoc network is processed by feature mining and classification, and the ad hoc network information transmission management platform is constructed. Then optimize the steps of extracting the anti-jamming information features of the ad hoc network data, and combine machine learning algorithm to optimize the anti-jamming evaluation algorithm of the communication data of the internet of things, so as to achieve the identification and protection of the ad hoc network interference data. The experimental results show that this method has high practicability and can meet the research requirements.
