Abstract

Wireless sensor networks (WSNs) consist of a large number of low-cost miniature sensors, which can be applied to battlefield surveillance, environmental monitoring, target tracking, and other applications related to the positions of sensors. The location information of sensors is of great importance for wireless sensor networks. In this paper, we propose a new localization algorithm for the wireless sensor network based on time difference of arrival (TDOA), which is a typical algorithm in the wireless localization field. In order to improve the localization accuracy of a sensor, a new strategy is proposed for a localized sensor being upgraded to an anchor node, which is used to localize the position of the next sensor. Performance analysis and simulation results show that the revised TODA localization algorithm has the higher localization accuracy when compared with the original TDOA location method.

Highlights

  • Wireless sensor networks WSNs are a technique which has a wide variety of applications, such as target tracking, battlefield surveillance, and environmental monitoring 1, and the position of the nodes is a crucial issue for that all the applications are based on the location information

  • We propose a new localization algorithm for the wireless sensor network based on time difference of arrival TDOA, which is a typical algorithm in the wireless localization field

  • In order to verify the performance of the revised geometric localization method based on Algorithm 2.1, we compare it with the original TDOA method

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Summary

Introduction

Wireless sensor networks WSNs are a technique which has a wide variety of applications, such as target tracking, battlefield surveillance, and environmental monitoring 1 , and the position of the nodes is a crucial issue for that all the applications are based on the location information. The basic assumption for the trilateral positioning method 1.1 is that the measurement distances from anchors to the unknown sensor do not have errors. This assumption is almost impossible in practice. The localization method based on TDOA estimates the unknown sensor node D x, y by the given coordinates of anchors and time difference of arrival from those anchors to the unknown sensor D, which can be illustrated by Figure 2.

Revised Localization Algorithm Based on TDOA
Simulation Results
Conclusions
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