Implementation and test of a Device-Free localization system with a modified desync network protocol and a weighted k-nearest neighbor algorithm

IF 5 3区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Yoschanin Sasiwat, Dujdow Buranapanichkit, Apidet Booranawong
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引用次数: 0

Abstract

A device-free localization system is a technology for tracking targets or individuals without requiring them to carry any electronic devices. The system works by monitoring and processing changes in the received signal strength to detect changes in the environment. However, due to unreliable wireless communications and radio-based tracking solutions, an efficient system concerning both wireless communication and tracking performance should be developed. This paper presents a study of the 2.4 GHz IEEE 802.15.4 device-free localization system, focusing on the effectiveness of wireless network protocols and the accuracy of localization algorithms. The novelty and contribution of our work is that we develop a modified desync protocol for network synchronization and the weighted k-nearest neighbor algorithm for location tracking. The study provides both simulation and experimental evaluations, considering hardware configurations such as the CC2538 + CC2592 device. Results demonstrate that the modified desync protocol can effectively operate in real-world environments. The network’s performance is evaluated through the packet delivery ratios for different network sizes and the convergence time, which refers to the ability to restore synchronization among network nodes. In our experiment case, the packet delivery ratio and the convergence time for a twenty-node network size are 97.98 % and 6.976 s, respectively. In addition, the weighted k-nearest neighbor algorithm with an additional solution provides a high estimation accuracy of 99.93 % as accessed from various fixed human locations. Results also indicate that our algorithm can track the locations of a movement person, achieving an average accuracy of 85.75 % for different movement patterns. Finally, we suggest that the effect of new generative artificial intelligence approaches in this field should be investigated.

利用修改后的去同步网络协议和加权 k 近邻算法实施和测试无设备定位系统
无设备定位系统是一种无需携带任何电子设备即可追踪目标或个人的技术。该系统通过监测和处理接收信号强度的变化来检测环境的变化。然而,由于无线通信和基于无线电的跟踪解决方案不可靠,因此应开发一种既能实现无线通信又能提高跟踪性能的高效系统。本文介绍了对 2.4 GHz IEEE 802.15.4 无设备定位系统的研究,重点是无线网络协议的有效性和定位算法的准确性。我们工作的新颖性和贡献在于,我们开发了用于网络同步的改进型 desync 协议和用于位置跟踪的加权 k 近邻算法。这项研究提供了模拟和实验评估,并考虑了 CC2538 + CC2592 设备等硬件配置。结果表明,修改后的去同步协议可在实际环境中有效运行。网络性能通过不同网络规模下的数据包传送率和收敛时间(指网络节点间恢复同步的能力)进行评估。在我们的实验案例中,20 个节点网络规模的数据包传送率和收敛时间分别为 97.98 % 和 6.976 秒。此外,加权 k 近邻算法还提供了一个额外的解决方案,从不同的人类固定位置获取的估计精度高达 99.93%。结果还表明,我们的算法可以跟踪运动人员的位置,在不同运动模式下的平均准确率达到 85.75%。最后,我们建议研究新的生成式人工智能方法在该领域的应用效果。
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
Egyptian Informatics Journal
Egyptian Informatics Journal Decision Sciences-Management Science and Operations Research
CiteScore
11.10
自引率
1.90%
发文量
59
审稿时长
110 days
期刊介绍: The Egyptian Informatics Journal is published by the Faculty of Computers and Artificial Intelligence, Cairo University. This Journal provides a forum for the state-of-the-art research and development in the fields of computing, including computer sciences, information technologies, information systems, operations research and decision support. Innovative and not-previously-published work in subjects covered by the Journal is encouraged to be submitted, whether from academic, research or commercial sources.
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