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Under the limitations of wireless sensor node communication distance and UAV parameters, the optimization problem of minimizing the average spatial correlation age of information (SCAoI) of all nodes in the area is set up. This problem is solved by optimizing the number of clusters, UAV flight trajectories, and the order of data collection from cluster member nodes. The maximum communication distance of the nodes is used as the cluster formation radius, and the maximum-minimum distance clustering algorithm is used to cluster the nodes in the region to obtain the minimum number of clusters. After it has been proven that the trajectory optimization problem in this study is NP-hard, the ant colony algorithm is applied to obtain the minimum flight time and the corresponding trajectory. By using the greedy algorithm to determine the member nodes in the sequence of data collection for a cluster, the instantaneous SCAoI of the UAV arriving at the cluster head is solved. Simulation results show that the proposed algorithm in this paper can effectively improve the freshness of data and reduce the average SCAoI of the system compared with the algorithm in the comparative literature, reducing the average SCAoI by about 61%.<\/jats:p>","DOI":"10.1155\/2024\/6691579","type":"journal-article","created":{"date-parts":[[2024,2,19]],"date-time":"2024-02-19T23:21:22Z","timestamp":1708384882000},"page":"1-15","source":"Crossref","is-referenced-by-count":6,"title":["Optimization Algorithm for AoI-Based UAV-Assisted Data Collection"],"prefix":"10.1155","volume":"2024","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8027-003X","authenticated-orcid":true,"given":"Xiaoya","family":"Zhou","sequence":"first","affiliation":[{"name":"Nanjing University of Posts and Telecommunications, Jiangsu Key Laboratory of Wireless Communications, Nanjing 210000, China"},{"name":"Nanjing University of Posts and Telecommunications, Engineering Research Center of Health Service System Based on Ubiquitous Wireless Networks, Ministry of Education, Nanjing 210000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8190-8912","authenticated-orcid":true,"given":"Qi","family":"Zhu","sequence":"additional","affiliation":[{"name":"Nanjing University of Posts and Telecommunications, Jiangsu Key Laboratory of Wireless Communications, Nanjing 210000, China"},{"name":"Nanjing University of Posts and Telecommunications, Engineering Research Center of Health Service System Based on Ubiquitous Wireless Networks, Ministry of Education, Nanjing 210000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"issue":"1","key":"1","first-page":"80","article-title":"Wireless network design for information freshness priority in 6G","volume":"4","author":"X. 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