A self-adaptive distance correction localisation algorithm based on RSSI-LQI for WSNs

IF 1.1 4区计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

International Journal of Sensor Networks Pub Date : 2014-11-01 DOI:10.1504/IJSNET.2014.065875

Huang Yuanliang, Huang Wei

引用次数: 2

Abstract

For the problem of wireless location error caused by the effects of environmental factors on received signal strength indication (RSSI) and link quality indicator (LQI), this paper put forward a new self-adaptive distance correction algorithm, which adopted Gaussian model to sift RSSI and LQI. Besides, a direction correction factor and a distance threshold were defined in the improved trilateration localisation algorithm and the improved distance difference correction localisation algorithm. This algorithm with the advantages of short locating time, low hardware spending and little power consumption can effectively improve the location accuracy. The simulation results proved that its location precision was more than 97.3%, which is quite practical for wireless location.

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基于RSSI-LQI的无线传感器网络自适应距离校正定位算法

针对环境因素对接收信号强度指示(RSSI)和链路质量指示(LQI)的影响导致的无线定位误差问题，本文提出了一种新的自适应距离校正算法，该算法采用高斯模型对RSSI和LQI进行筛选。此外，在改进的三边定位算法和改进的距离差校正定位算法中定义了方向校正因子和距离阈值。该算法具有定位时间短、硬件消耗少、功耗小等优点，可有效提高定位精度。仿真结果表明，该方法的定位精度可达97.3%以上，在无线定位中具有一定的实用性。

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

International Journal of Sensor Networks COMPUTER SCIENCE, INFORMATION SYSTEMS-TELECOMMUNICATIONS

CiteScore

2.40

自引率

27.30%

发文量

期刊介绍： IJSNet proposes and fosters discussion on and dissemination of issues related to research and applications of distributed and wireless/wired sensor and actuator networks. Sensor networks is an interdisciplinary field including many fields such as wireless networks and communications, protocols, distributed algorithms, signal processing, embedded systems, and information management. Topics covered include: -Energy efficiency, energy efficient protocols- Applications- Location techniques, routing, medium access control- Coverage, connectivity, longevity, scheduling, synchronisation- Network resource management, network protocols, lightweight protocols- Fault tolerance/diagnostics- Foundations- Data storage, query processing, system architectures, operating systems- In-network processing and aggregation- Learning of models from data- Mobility- Performance analysis- Sensor tasking and control- Security, privacy, data integrity- Modelling of systems/physical environments, simulation tools/environments.