A Mobile Node Assisted Localization System for Wireless Sensor Networks | IEEE Conference Publication | IEEE Xplore

A Mobile Node Assisted Localization System for Wireless Sensor Networks


Abstract:

Wireless sensor network (WSN), consisting of several sensor nodes, is one of the most promising technologies emerged in the past decade. The positioning system for WSN is...Show More

Abstract:

Wireless sensor network (WSN), consisting of several sensor nodes, is one of the most promising technologies emerged in the past decade. The positioning system for WSN is particularly meaningful and widely used in the military surveillance, air-sea rescue, traffic monitoring, and etc. However, the traditional positioning system always suffers from deployment and maintenance of anchors. In this paper, we propose a positioning system employing a Raspberry Pi platform attached to a DJI drone as a mobile anchor. The DJI drone can serve as multiple virtual anchors by moving and broadcasting its location information periodically. Thus, it is possible to localize sensor node by itself when the sensor node collects the drone's position. A Gauss-Newton method is applied to improve the accuracy of the proposed positioning system. We also elaborate the adaption of the Gauss-Newton method with the geodetic coordinates. The goal of the proposed positioning system is to achieve higher accuracy and higher coverage at lower cost.
Date of Conference: 28 June 2021 - 02 July 2021
Date Added to IEEE Xplore: 09 August 2021
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ISSN Information:

Conference Location: Harbin City, China

Funding Agency:


I. Introduction

Wireless sensor networks (WSNs) can be defined as a self-configured and less-infrastructure wireless networks to help people to monitor or surveillance physical condition changes, such as sound, temperature, voice stream, pressure, motion, etc. [1]–[4]. The main purpose is to sense and transfer the data via the network to the base station which is able to process the data and interface with users. Originally, WSNs are motivated by military applications, such as large scale ocean surveillance and ground target tracking systems. Then this promising technique has been extended to varieties of areas, such as environmental monitoring, health care applications and industrial process control [5] [6]. It is obvious that all these purposes emphasize the importance of position information, which is critically useful for coverage, deployment, routing, target tracking and rescue, thus highlighting the accuracy of these position information. Generally, the major ways to collect position information of nodes in prior are able to be classified as follows,

recording the location reference of each node during the deployment phase manually;

equipping the Global Positioning System (GPS) module onto each node, which is extremely costly and energy consuming [7];

placing GPS module onto some special nodes as anchors, and others are able to estimate their own positions with the help of anchors, which is called localization method [1].

References

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