Title :
Energy-Efficient Quantization for Parameter Estimation in Inhomogeneous WSNs
Author :
Movaghati, Sahar ; Ardakani, Masoud
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Alberta, Canada
Abstract :
The estimation of an unknown parameter using distributed measurements is an essential problem in many wireless sensor network (WSN) applications. In a WSN, the shortage of resources, specially the energy in the sensors, acts as a constraint on the design of estimation algorithms. The existing studies on this problem have developed algorithms that try to limit the total energy in the whole network, yet not considering each sensor´s energy consumption individually. We develop an estimation algorithm for inhomogeneous environments considering the transmission load of individual sensors.
Keywords :
energy conservation; energy consumption; parameter estimation; wireless sensor networks; distributed measurement; energy consumption; energy-efficient quantization; inhomogeneous WSN; inhomogeneous environment; unknown parameter estimation; wireless sensor network; Energy consumption; Estimation; Labeling; Noise measurement; Quantization; Sensors; Wireless sensor networks;
Conference_Titel :
Global Telecommunications Conference (GLOBECOM 2011), 2011 IEEE
Conference_Location :
Houston, TX, USA
Print_ISBN :
978-1-4244-9266-4
Electronic_ISBN :
1930-529X
DOI :
10.1109/GLOCOM.2011.6133615
