In indoor localization, reliability and optimization analysis are the most vital factors to be considered. Numerous modern-day services require precise location information for their application. Location fingerprinting using WLAN is the most acknowledged technique for indoor localization purposes. Both accuracy and coverage can be enhanced by deploying the WLAN access points (APs) appropriately. In this article, an optimization problem is formulated for reliable localization systems. An AP deployment strategy ensuring coverage along with a selection strategy to choose an optimal configuration for reducing the localization error has been implemented. A hybrid technique is proposed to select the optimal APs configuration that merges the traditional fingerprint difference and geometric dilution of precision-based methods. A distinguishing feature of this work is the inclusion of two significant constraints, which are the consideration of walls and people attenuation factor in the optimization process. Simulations are conducted to test and verify the practicality of the proposed technique through a number of comparison test cases. The results demonstrate that our proposed technique outperforms the previously existing techniques.

中文翻译：

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可靠的室内定位系统的接入点优化

在室内定位中，可靠性和优化分析是最需要考虑的因素。许多现代服务需要为其应用提供精确的位置信息。使用 WLAN 的位置指纹识别是用于室内定位的最公认的技术。通过适当部署 WLAN 接入点 (AP)，可以提高准确性和覆盖范围。在本文中，为可靠的定位系统制定了优化问题。已实施确保覆盖的 AP 部署策略以及选择最佳配置以减少定位误差的选择策略。提出了一种混合技术来选择最佳 AP 配置，该配置融合了传统指纹差异和基于精度的方法的几何稀释。这项工作的一个显着特点是包含两个重要的约束条件，即在优化过程中考虑墙壁和人员衰减因素。通过一些比较测试用例进行模拟以测试和验证所提出技术的实用性。结果表明，我们提出的技术优于以前存在的技术。