Tracking Mobile Robot in Indoor Wireless Sensor Networks | Zendy

Liping Zhang | Zendy; ChengChew Lim | Zendy; Yiping Chen | Zendy; Hamid Reza Karimi | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Tracking Mobile Robot in Indoor Wireless Sensor Networks

Author(s) -

Liping Zhang,

ChengChew Lim,

Yiping Chen,

Hamid Reza Karimi

Publication year - 2014

Publication title -

mathematical problems in engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.262

H-Index - 62

eISSN - 1026-7077

pISSN - 1024-123X

DOI - 10.1155/2014/837050

Subject(s) - wireless sensor network , mobile robot , tracking (education) , real time computing , computer science , received signal strength indication , kalman filter , trajectory , robot , sensor fusion , scheme (mathematics) , wireless , key distribution in wireless sensor networks , computer network , wireless network , artificial intelligence , telecommunications , mathematics , psychology , pedagogy , mathematical analysis , physics , astronomy

This work addresses the problem of tracking mobile robots in indoor wireless sensor networks (WSNs). Our approach is based on a localization scheme with RSSI (received signal strength indication) which is used widely in WSN. The developed tracking system is designed for continuous estimation of the robot’s trajectory. A WSN, which is composed of many very simple and cheap wireless sensor nodes, is deployed at a specific region of interest. The wireless sensor nodes collect RSSI information sent by mobile robots. A range-based data fusion scheme is used to estimate the robot’s trajectory. Moreover, a Kalman filter is designed to improve tracking accuracy. Experiments are provided to assess the performance of the proposed scheme.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research