A Mobile Node Assisted Localization System for Wireless Sensor Networks
Paper in proceeding, 2021

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.

RSS based localization

Radio propagation model

Raspberry Pi

Author

Ruoyu Su

Nanjing University of Posts and Telecommunications

Xiaolin Pang

Memorial University of Newfoundland

Zijun Gong

Memorial University of Newfoundland

Cheng Li

Memorial University of Newfoundland

Xueheng Tao

Memorial University of Newfoundland

Fan Jiang

Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

IWCMC 2021: 2021 17TH INTERNATIONAL WIRELESS COMMUNICATIONS & MOBILE COMPUTING CONFERENCE (IWCMC)

2376-6492 (ISSN)

1716-1720
978-1-7281-8616-0 (ISBN)

17th IEEE International Wireless Communications and Mobile Computing Conference (IEEE IWCMC)
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Subject Categories

Computer Engineering

Embedded Systems

Signal Processing

DOI

10.1109/IWCMC51323.2021.9498987

More information

Latest update

11/8/2021