Wireless Sensor Localization Algorithm Based on Artificial Intelligence
Abstract
In order to improve the optimal selection ability of incremental wireless sensor self-localization nodes, an artificial intelligence-based wireless sensor self-localization node deployment algorithm is proposed. The method is comprised of the following steps: constructing an optimized topological structure model of a wireless sensor self-positioning node, performing output link conversion control of the wireless sensor self-positioning node by combining the channel equalization configuration method of an autonomous distributed wireless sensor network, establishing an optimized topological structure model of the wireless network, performing link conversion design of the wireless sensor self-positioning node by combining a channel adaptive equalization modulation method, energy feature extraction of the wireless sensor nodes in autonomous distributed wireless sensor
networks which is carried out by combining the adaptive topology modulation method, adaptive selection and fusion clustering of wireless sensor self-positioning nodes that are carried out according to the energy clustering of wireless sensor nodes, extracting high-order spectral feature quantities of output information of wireless sensor self-positioning nodes, and realizing the optimal deployment and selection of wireless sensor self-positioning nodes according to fuzzy information clustering results, so that the wireless sensor self-positioning is complete. The simulation results show that the self-adaptive selection of localization nodes for wireless sensors using this method is improved, the output signal-to-noise ratio of wireless sensor network is higher, and the bit error rate is lower.
Keywords: Artificial Intelligence, Wireless Sensor, Self-Orientation, Fuzzy Information Clustering, Node.
Cite As
X. Wang, X. Hao, "Wireless Sensor Localization Algorithm Based on Artificial Intelligence",
Engineering Intelligent Systems, vol. 30 no. 1, pp. 77-87, 2022.