{"title":"Wireless Sensor Networks Based on UAV Auxiliary Energy-Saving Data Collection Algorithms","authors":"Aijing Sun, Yijia Li, Shichang Li","doi":"10.1145/3573942.3573982","DOIUrl":null,"url":null,"abstract":"The selection of wireless sensor networks (WSNs) communication topology and the application of unmanned aerial vehicles (UAV) in data collection are studied in the scenario of being far away from the base station. The topology consists of a set of cluster head nodes that communicate with the UAV. After considering the network energy consumption factors, the optimal number of cluster heads of the network is derived, the network is clustered and the cluster head node is selected. Finally, the cruising path of the drone to collect data from the cluster head is optimized. Simulation results show that the proposed algorithm can effectively save the energy of nodes, prolong network life, and reduce the total distance of the UAV collects data.","PeriodicalId":103293,"journal":{"name":"Proceedings of the 2022 5th International Conference on Artificial Intelligence and Pattern Recognition","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2022 5th International Conference on Artificial Intelligence and Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3573942.3573982","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The selection of wireless sensor networks (WSNs) communication topology and the application of unmanned aerial vehicles (UAV) in data collection are studied in the scenario of being far away from the base station. The topology consists of a set of cluster head nodes that communicate with the UAV. After considering the network energy consumption factors, the optimal number of cluster heads of the network is derived, the network is clustered and the cluster head node is selected. Finally, the cruising path of the drone to collect data from the cluster head is optimized. Simulation results show that the proposed algorithm can effectively save the energy of nodes, prolong network life, and reduce the total distance of the UAV collects data.