基于正弦余弦算法的无线传感器节点定位器

IF 1.5 Q3 TELECOMMUNICATIONS
Eslam Hamouda, Abdelaziz Said Abohamama
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引用次数: 9

摘要

无线传感器网络是一项应用于许多领域的新兴技术。了解传感器节点的位置对于许多应用程序执行其任务至关重要。因此,在无线传感器网络中,准确的节点定位是一个关键问题。节点定位问题可以表述为一个多维优化问题。在这项研究中,作者提出了一种基于正弦-余弦算法的节点定位方案。该方案解决了严重影响整个网络定位精度的翻转模糊问题。通过在不同场景下的密集实验,评估了该方案的有效性。结果表明,该方案在定位精度、定位节点数量和计算时间等方面优于其他优化算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Wireless sensor nodes localiser based on sine–cosine algorithm

Wireless sensor nodes localiser based on sine–cosine algorithm

Wireless sensor networks are an emerging technology deployed in many fields. Knowing the positions of sensor nodes is critical for many applications to perform their tasks. Hence, accurate node localisation in wireless sensor networks is an essential issue. The node localisation problem can be formulated as a multidimensional optimisation problem. In this study, the authors propose a node localisation scheme based on a sine–cosine algorithm. The proposed scheme addresses the flip ambiguity problem, which can badly affect the localisation accuracy of the entire network. The efficacy of the proposed scheme is evaluated through intensive experimentation under different scenarios. The obtained results show the superiority of the proposed scheme against other optimisation algorithms in terms of the localisation accuracy, the number of localised nodes, and the computation time.

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来源期刊
IET Wireless Sensor Systems
IET Wireless Sensor Systems TELECOMMUNICATIONS-
CiteScore
4.90
自引率
5.30%
发文量
13
审稿时长
33 weeks
期刊介绍: IET Wireless Sensor Systems is aimed at the growing field of wireless sensor networks and distributed systems, which has been expanding rapidly in recent years and is evolving into a multi-billion dollar industry. The Journal has been launched to give a platform to researchers and academics in the field and is intended to cover the research, engineering, technological developments, innovative deployment of distributed sensor and actuator systems. Topics covered include, but are not limited to theoretical developments of: Innovative Architectures for Smart Sensors;Nano Sensors and Actuators Unstructured Networking; Cooperative and Clustering Distributed Sensors; Data Fusion for Distributed Sensors; Distributed Intelligence in Distributed Sensors; Energy Harvesting for and Lifetime of Smart Sensors and Actuators; Cross-Layer Design and Layer Optimisation in Distributed Sensors; Security, Trust and Dependability of Distributed Sensors. The Journal also covers; Innovative Services and Applications for: Monitoring: Health, Traffic, Weather and Toxins; Surveillance: Target Tracking and Localization; Observation: Global Resources and Geological Activities (Earth, Forest, Mines, Underwater); Industrial Applications of Distributed Sensors in Green and Agile Manufacturing; Sensor and RFID Applications of the Internet-of-Things ("IoT"); Smart Metering; Machine-to-Machine Communications.
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