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.
| Original language | English |
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| Title of host publication | 2021 International Wireless Communications and Mobile Computing, IWCMC 2021 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1716-1720 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781728186160 |
| DOIs | |
| Publication status | Published - 2021 |
| Externally published | Yes |
| Event | 17th IEEE International Wireless Communications and Mobile Computing, IWCMC 2021 - Virtual, Online, China Duration: 28 Jun 2021 → 2 Jul 2021 |
Publication series
| Name | 2021 International Wireless Communications and Mobile Computing, IWCMC 2021 |
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Conference
| Conference | 17th IEEE International Wireless Communications and Mobile Computing, IWCMC 2021 |
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| Country/Territory | China |
| City | Virtual, Online |
| Period | 28/06/21 → 2/07/21 |
Bibliographical note
Publisher Copyright:© 2021 IEEE
Keywords
- RSS based localization
- Radio propagation model
- Raspberry Pi