JOURNAL ARTICLE

Weighted Least Square Localization Algorithm Based on RSSI Values

Abstract

In order to improve the positioning accuracy of wireless sensor networks, as little as possible to use the beacon node, and controlling the costs. This article used trilateral positioning method for positioning. While, from improving measurement accuracy, angle adaptive environment for wireless sensor nodes. This paper presents a beacon node localization algorithm weighted least squares. The algorithm positioning system adapted the prevailing circumstances, and beacon nodes according to the weight of their own measurement error adjustment beacon node localization of unknown value, according to the mathematical model to solve the environmental factors which cause positioning errors big problem. By MATLAB simulation results show, weighted algorithm reduces the positioning error, localization accuracy is improved 5%.

Keywords:
Wireless sensor network Node (physics) Computer science Algorithm MATLAB Positioning system Wireless Real-time computing Least-squares function approximation Mean squared error Mathematics Statistics Computer network Engineering Telecommunications

Metrics

11
Cited By
0.33
FWCI (Field Weighted Citation Impact)
4
Refs
0.69
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Indoor and Outdoor Localization Technologies
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Robotics and Sensor-Based Localization
Physical Sciences →  Engineering →  Aerospace Engineering
Underwater Vehicles and Communication Systems
Physical Sciences →  Engineering →  Ocean Engineering

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