Name
Title | ||
|---|---|---|
A 3D localisation method for searching survivors/corpses based on WSN and Kalman filter |
Abstract | ||
|---|---|---|
AbstractLocalisation is a key technique in Internet of Things IoT and wireless sensor network WSN. Currently, for indoor localisation there are many approaches, e.g., RFID based, ultrasonic sensor based, etc. However, when an earthquake happens, the devices for localisation in a building may be damaged and how to quickly locate the survivors/corpses buried in a collapse regional is a key issue. In the paper, we propose a 3D localisation method for searching survivors/corpses based on WSN. It mainly consists of two stages. In the first stage, a draft location is calculated based on beacon nodes, and then a detailed location is computed in the second stage based on a mobile beacon node moving along a triangle. Meanwhile, we employed Kalman filter in the method to acquire stable received signal strength indicators RSSIs. Finally, we implement a robot car with a sensor node acting as a mobile beacon node and evaluate the proposed method through experiments in a gym. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1504/IJSNET.2015.072866 | Periodicals |
Keywords | Field | DocType |
IoT, internet of things, WSN, wireless sensor network, localisation, mobile beacon node, Kalman filter, search of survivors/corpses | Sensor node,Computer science,Internet of Things,Computer network,Kalman filter,Signal strength,Robot,Wireless sensor network,Mobile robot | Journal |
Volume | Issue | ISSN |
19 | 3/4 | 1748-1279 |
Citations | PageRank | References |
0 | 0.34 | 11 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Junbo Wang | 1 | 54 | 16.41 |
| Zixue Cheng | 2 | 411 | 52.10 |
| Taishi Yoshida | 3 | 1 | 0.70 |
| Yinghui Zhou | 4 | 72 | 11.88 |
| Lei Jing | 5 | 72 | 13.18 |