Intelligent Topology Management for TDOA-Based Localization in IoT Networks

IF 4.4 3区计算机科学 Q2 TELECOMMUNICATIONS

IEEE Communications Letters Pub Date : 2025-03-12 DOI:10.1109/LCOMM.2025.3550860

Nasir Saeed

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引用次数: 0

Abstract

Time Difference of Arrival (TDOA) localization plays a pivotal role in IoT networks, driving applications such as smart city infrastructure, industrial asset tracking, and environmental monitoring. However, traditional centralized localization approaches impose excessive computational demands and communication overhead, making them unsuitable for resource-constrained IoT deployments. This letter introduces a novel distributed TDOA localization framework, leveraging intelligent topology management to dynamically adapt network configurations for optimal performance. An Iterative Multi-Stage Adaptive Estimation (MAE) algorithm is developed, providing a robust closed-form solution for node interaction optimization, significantly improving the trade-off between computational efficiency and communication overhead. The proposed method achieves superior localization accuracy by mitigating the impact of measurement noise and addressing energy constraints inherent to IoT environments. Simulation results demonstrate substantial gains in positioning performance, energy efficiency, and scalability compared to state-of-the-art algorithms, highlighting its suitability for real-time IoT applications in complex and dynamic network scenarios.

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物联网网络中基于tdoa定位的智能拓扑管理

到达时差（TDOA）本地化在物联网网络中发挥着关键作用，推动了智慧城市基础设施、工业资产跟踪和环境监测等应用。然而，传统的集中式本地化方法带来了过多的计算需求和通信开销，使其不适合资源受限的物联网部署。这封信介绍了一种新的分布式TDOA定位框架，利用智能拓扑管理来动态调整网络配置以获得最佳性能。提出了一种迭代多阶段自适应估计（MAE）算法，为节点交互优化提供了鲁棒的封闭解，显著改善了计算效率和通信开销之间的平衡。该方法通过减轻测量噪声的影响和解决物联网环境固有的能量限制，实现了卓越的定位精度。仿真结果表明，与最先进的算法相比，该算法在定位性能、能效和可扩展性方面都有显著提升，突出了其在复杂动态网络场景下的实时物联网应用的适用性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Communications Letters 工程技术-电信学

CiteScore

8.10

自引率

7.30%

发文量

590

审稿时长

2.8 months

期刊介绍： The IEEE Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of communication over different media and channels including wire, underground, waveguide, optical fiber, and storage channels. Both theoretical contributions (including new techniques, concepts, and analyses) and practical contributions (including system experiments and prototypes, and new applications) are encouraged. This journal focuses on the physical layer and the link layer of communication systems.