DocumentCode :
645882
Title :
Evaluation of memory-efficient 1-bit compressed sensing in wireless sensor networks
Author :
Sakdejayont, Theerat ; Doohwan Lee ; Yuanyuan Peng ; Yamashita, Yukihiko ; Morikawa, Hiroyuki
Author_Institution :
Res. Center for Adv. Sci. & Technol., Univ. of Tokyo, Tokyo, Japan
fYear :
2013
fDate :
26-29 Aug. 2013
Firstpage :
326
Lastpage :
329
Abstract :
Wireless sensor networks generate big-data which leads to overwhelming traffic in the networks. Compressed sensing (CS) can exploit signal sparsity to reduce the amount of traffic. We evaluate the performance of 1-bit CS with a circulant random bipolar measurement matrix. The results show that 1-bit CS can decrease traffic at higher degree in wireless sensor networks compared to the conventional CS. Moreover, applying a circulant random bipolar measurement matrix overcomes the limitation of memory in sensor nodes. The scheme is studied in terms of reconstruction accuracy and memory consumption by using real sensor data. The implementation on sensor nodes validates the viability on a practical system.
Keywords :
compressed sensing; signal reconstruction; telecommunication traffic; wireless sensor networks; circulant random bipolar measurement matrix; memory consumption; memory-efficient compressed sensing; performance evaluation; reconstruction accuracy; signal sparsity; traffic reduction; wireless sensor networks; Compressed sensing; Distortion measurement; Humidity; Memory management; Temperature measurement; Temperature sensors; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Humanitarian Technology Conference (R10-HTC), 2013 IEEE Region 10
Conference_Location :
Sendai
Type :
conf
DOI :
10.1109/R10-HTC.2013.6669064
Filename :
6669064
Link To Document :
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