Localization Accuracy Improvement in WSNs using Trilateration Techniques

Wireless sensor networks (WSNs) are indispensable for various applications, including environmental monitoring and factory automation. Nevertheless, the precision with which sensor nodes can be localized is crucial to the accuracy and dependability of WSNs. Using trilateration techniques presents a novel method for enhancing localization accuracy in WSNs. The proposed method utilizes mathematical models and algorithms to predict the precise positions of sensor nodes, compensating for the limitations of conventional localization techniques. Through extensive testing and analysis, this demonstrates how enhancements to localization accuracy, positioning precision, and network performance can make WSNs more reliable and effective across various use cases. This study investigates the technology underlying the trilateration-based method and outlines its potential applications and benefits. The importance of precise localization in WSNs is emphasized, and research directions for wireless sensor network optimization are provided.