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Received:December 30, 2020 Revised:January 29, 2021
Received:December 30, 2020 Revised:January 29, 2021
中文摘要: 针对近似三角形内点测试法(Approximate Point-In-Triangulation Test, APIT)定位精度与覆盖率不足的问题, 提出了一种基于APIT与遗传算法混合的无线传感器网络定位算法. 该算法通过比较分割法优化APIT算法提高定位精度, 并通过遗传算法提高定位覆盖率. 通过仿真对比分析, 该算法相较于APIT算法定位精度提高21.62%, 定位覆盖率提高4.87%.
Abstract:Regarding the low localization accuracy and coverage of the Approximate Point-In-Triangulation Test (APIT) algorithm, this study proposes a hybrid localization algorithm based on the APIT and genetic algorithms for Wireless Sensor Network (WSN). This algorithm improves localization accuracy by the APIT algorithm optimized with a comparison of segmentation methods and enhances localization coverage by the genetic algorithm. Simulation results show that in comparison with the APIT algorithm, the localization accuracy and coverage of the proposed algorithm are respectively increased by 21.62% and 4.87%.
keywords: Wireless Sensor Network (WSN) Approximate Point-In-Triangulation Test (APIT) genetic algorithm localization accuracy coverage
文章编号： 中图分类号： 文献标志码：
基金项目:
| Author Name | Affiliation | |
| LI Yun-Peng | School of Information Science and Engineering, Shenyang University of Technology, Shenyang 110870, China | 1051895360@qq.com |
| Author Name | Affiliation | |
| LI Yun-Peng | School of Information Science and Engineering, Shenyang University of Technology, Shenyang 110870, China | 1051895360@qq.com |
引用文本：
李云鹏.基于APIT的无线传感器网络混合定位算法.计算机系统应用,2021,30(10):254-258
LI Yun-Peng.Hybrid Localization Algorithm for Wireless Sensor Networks Based on APIT.COMPUTER SYSTEMS APPLICATIONS,2021,30(10):254-258
李云鹏.基于APIT的无线传感器网络混合定位算法.计算机系统应用,2021,30(10):254-258
LI Yun-Peng.Hybrid Localization Algorithm for Wireless Sensor Networks Based on APIT.COMPUTER SYSTEMS APPLICATIONS,2021,30(10):254-258
