An Energy-Saving Data Statistics-Driven Management Technique for Bio-Powered Indoor Wireless Sensor Nodes

Author(s):  
Alejandro Castillo-Atoche ◽  
J. Vazquez-Castillo ◽  
E. Osorio-de-la-Rosa ◽  
J. Heredia-Lozano ◽  
Jaime Aviles Vinas ◽  
...  
2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Liping Zhang ◽  
Cheng-Chew Lim ◽  
Yiping Chen ◽  
Hamid Reza Karimi

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.


Author(s):  
Leander B. Hormann ◽  
Markus Pichler-Scheder ◽  
Christian Kastl ◽  
Hans-Peter Bernhard ◽  
Peter Priller ◽  
...  

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