Title :
Signal Compression and Reconstruction in Clustered Sensor Networks
Author :
Nordio, Alessandro ; Chiasserini, Carla-Fabiana ; Muscariello, Armando
Author_Institution :
Politec. di Torino, Turin
Abstract :
We consider a wireless sensor network monitoring a field of interest, and we study the benefits of grouping nodes into clusters. The data gathered within each cluster are compressed by the cluster head and sent to a sink node, where a reconstructed version of the field is obtained. We represent the compressed data through the Fourier coefficients of the field spectrum, and analyze both the case where the sensor positions are known to the sink, and the case where they are available at the cluster head only. We show that clustering significantly reduces the energy expenditure due to data transmission, and, most importantly, we derive the possible degradation of the quality of the reconstructed field due to compression.
Keywords :
Fourier analysis; data compression; signal reconstruction; wireless sensor networks; Fourier coefficients; clustered wireless sensor networks; data compression; signal compression; signal reconstruction; Communications Society; Data communication; Degradation; Electronic mail; Monitoring; Peer to peer computing; Sampling methods; Sensor phenomena and characterization; Wavelet transforms; Wireless sensor networks;
Conference_Titel :
Communications, 2008. ICC '08. IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2075-9
Electronic_ISBN :
978-1-4244-2075-9
DOI :
10.1109/ICC.2008.181