Modeling and Understanding the Localization Performance With Network Signatures

Hongyu Sun,Huang Liang,Zheng Lu,Xinyu Zhang

doi:10.1109/access.2020.2973315

Abstract

With the continuous development of wireless network technology, more and more mobile devices are connected to the network, and the location information of these devices is becoming one of the important basis for analyzing other geographic data in the net. Location is an important problem in spatial information sensing, and the theoretical basis of location is the free space fading feature of wireless signals. In this paper, we proposes WiLocWare, which is a middle ware to understand and modeling the performance of the state-of-the-art and to be proposed algorithms. We evaluated and characterized the correlation between localization accuracy and networks parameters such as signal propagation model, the coverage of wireless radios, the distributions of wireless devices and the density of the anchor nodes. The experimental results show the localization accuracies under different wireless signatures, WiLocWare is also scalable for the performance evaluation for the to be proposed algorithms.

Highlights

With the continuous development of wireless network technologies, nearly six hundred and fifty million mobile devices added in networks according to the forecast by Cisco [1]
We evaluated WiLocWare with Matlab, four kinds of deployment methods, four kinds of signal propagation methods, four classical localization algorithms were implemented to test the scalability and reliability of WiLocWare, and three kinds of performance matrix were test under WiLocWare
In order to solve this problem, this paper proposes WiLocWare, which is a middleware for model and understanding the localization performance in a scalability, reliability and uniformly way

Summary

INTRODUCTION

With the continuous development of wireless network technologies, nearly six hundred and fifty million mobile devices added in networks according to the forecast by Cisco [1]. H. Sun et al.: Modeling and Understanding the Localization Performance With Network Signatures the communication radius of node, in the process of model design it should give full consideration and evaluation on the effects of these factors on different location algorithm. The WiLocWare model consists of four sub-modules, which are node deployment module, free space fading module, location algorithm adding module and performance analysis module. PERFORMANCE INDEX MODEL The performance matrix of localization algorithm in this paper includes location error rate, location cover rate, and energy consumption Under the same conditions, the localization error rate of the APIT algorithm is significantly lower than the other three algorithms

SIMULATION AND EVALUATIONS

Findings

CONCLUSION