Recent research on Intelligent Reflecting Surface (IRS), a promising emerging technology, has shown significant potential in positioning and sensing. This paper provides an overview of the current status of the IRS technology, including theoretical research, performance analysis, localization algorithms, and the interaction between localization and communication. Furthermore, a IRS-based single base station localization algorithm is proposed for single base station localization. The effectiveness of the algorithm is verified through simulations, demonstrating that sub-meter level localization can be achieved even under moderately favorable system parameter.
Time synchronization is essential for ensuring the accuracy and timeliness of cooperation and communication between nodes in wireless sensor networks. However, in high-dynamic environments, the high-speed movement of sensor nodes may result in asymmetric wireless transmission links, posing a challenge for time synchronization. To address this problem, we proposes an algorithm that combines a node motion model with time synchronization and validates its effectiveness in improving clock parameters accuracy through experiments. The results show that compared to time synchronization algorithms with symmetric links, this algorithm exhibits superior applicability and synchronization accuracy in high-dynamic environments and can effectively reduce overall communication overhead.
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