Abstract

Using wireless communication system, appropriate and correct indoor localization with Zigbee sensor network and could provide interesting services and applications. In this study the Zigbee transmission model with positioning method by using the relative-span exponentially weighted centroid method for the indoor localization. The experimental results and analyze results are evaluated a distance error. The ZigBee transmission model in measurement consists of 121 positions with distance between positions to positions is 0.3 meter. The experimental setup at every position operated at frequency band from 2.3 GHz to 2.5 GHz. The accuracy of estimated position is considered in the term of distance error with the cumulative distribution function (CDF) of distance error is shown. The result presents optimal value for REWL is 0.2 and mean of distance error is 0.65 m.

Highlights

  • The Zigbee wireless networks are widely used in several applications for indoor and outdoor localizations

  • The distance error in x, y axes of Relative-Span Exponentially Weighted and Localization Algorithm (REWL) algorithm with λ = 0.1 is shown in figure 2 the mean of distance error is 1.24 m

  • The distance error in x, y axes of REWL algorithm with λ = 0.2 is shown in figure 4 the mean of distance error is 0.65 m

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Summary

Introduction

The Zigbee wireless networks are widely used in several applications for indoor and outdoor localizations. The information of localization is a main criterion for the capability of wireless sensor network. The accurate location estimation is helpful in wireless sensor networks (WSNs) services such as routing, information processing [2], [3], and [5]. In WSNs, localization has become a very popular research orientation. Based on the requirement for measuring the received signal strength indicator (RSSI) between reference nodes and target nodes in the positioning process, WSNs localization algorithm can be split into the range-based localization algorithm and the range-free localization algorithm. A promising algorithm of localization is the REWL algorithm with Zigbee technology

Methods
Results
Conclusion

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