A 3D localisation method for searching survivors/corpses based on WSN and Kalman filter
by Junbo Wang; Zixue Cheng; Taishi Yoshida; Yinghui Zhou; Lei Jing
International Journal of Sensor Networks (IJSNET), Vol. 19, No. 3/4, 2015

Abstract: Localisation 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.

Online publication date: Thu, 05-Nov-2015

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Sensor Networks (IJSNET):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com