Paper
18 November 2024 A wireless sensor network message processing model for application in data link
Fang Cheng, Junyi Wang, Wenbin Song, Yuemeng Zhi
Author Affiliations +
Proceedings Volume 13403, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2024) ; 1340316 (2024) https://doi.org/10.1117/12.3051740
Event: International Conference on Algorithms, High Performance Computing, and Artificial Intelligence, 2024, Zhengzhou, China
Abstract
Aiming at the problem of high number of sensor nodes in the existing Data Link system and the inefficiency of message delivery, collection and processing within the sensor network, this paper proposed a message processing model based on improved TEEN routing protocol (MPMIT). Using the improved TEEN routing protocol in the sensor network, the message delivery path is determined by selecting cluster head nodes to form clusters. After the message is delivered to the sink node, the target trajectory data within the message is parsed, and the trajectory data is fused by the FCM clustering algorithm. The experimental results in the simulation environment showed that the target trajectory formed by the MPMIT model processing had a higher degree of coincidence with the actual trajectory, and the effect is better, which can effectively solve the message processing problem of sensor nodes in the Data Link system.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Fang Cheng, Junyi Wang, Wenbin Song, and Yuemeng Zhi "A wireless sensor network message processing model for application in data link", Proc. SPIE 13403, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2024) , 1340316 (18 November 2024); https://doi.org/10.1117/12.3051740
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Head

Data modeling

Sensor networks

Data transmission

Sensors

Data processing

Process modeling

Back to Top