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Location based power control for energy critical sensors in a disconnected network
This paper provides a location based power control strategy for disconnected sensory nodes deployed for long term service. Power conservation is of importance particularly when sensors communicate with a mobile robot used for data collection. The proposed algorithm uses estimations from a Robust Extended Kalman Filter (REKF) with RSSI measurements, in implementing a sigmoid function based power control algorithm which essentially approaches a desired power emission trajectory based on carrier-to-interference ratios(CIR) to ensure interferenceless reception. The more realistic modelling we use incorporates physical dynamics between the mobile robot and the sensors together with the wireless propagation parameters between the transmitter and receiver to formulate a sophisticated and effective power control strategy for the exclusive usage of energy critical disconnected nodes in a sensory network increasing their life span.
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Event
IEEE International Conference on Industrial Informatics (4th : 2006 : Singapore)Pagination
653 - 658Publisher
IEEELocation
SingaporePlace of publication
Piscataway, N.J.Start date
2006-08-16End date
2006-08-18Language
engPublication classification
E1 Full written paper - refereedCopyright notice
2006 IEEEEditor/Contributor(s)
Institute of Electrical and Electronics EngineersTitle of proceedings
Integrating Manufacturing and Services Systems: 2006 IEEE International Conference on Industrial Informatics (INDIN`06)Usage metrics
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