An energy-efficient Distributed Compressed Sensing architecture for Wireless Sensor Networks based on a distributed wavelet compression algorithm
作者： Hai-feng Hu , Zhen Yang
DOI: 10.1109/WCSP.2011.6096737
关键词:
摘要: Wireless Sensor Networks (WSN) are mainly characterized by a potentially large number of distributed sensor nodes which collectively transmit information about sensed events to the sink. In this paper, we present centralized generating algorithm running at sink obtain wavelet basis in WSN. And on basis, Wavelet Transform-based Distributed Compressed Sensing (WTDCS) is proposed compress and reconstruct observations with spatial correlations. Finally, analysis relationship between reconstruction error energy consumption WTDCS carried out simulation. The results show that can achieve high performance terms accuracy, as compared conventional transform algorithm.
sci-hub.se 参考文章(11)
R. Wagner, Hyeokho Choi, R. Baraniuk, V. Delouille, Distributed wavelet transform for irregular sensor network grids ieee signal processing workshop on statistical signal processing. pp. 1196- 1201 ,(2005) , 10.1109/SSP.2005.1628777
Sunil K Narang, Godwin Shen, Antonio Ortega, Unidirectional graph-based wavelet transforms for efficient data gathering in sensor networks 2010 IEEE International Conference on Acoustics, Speech and Signal Processing. pp. 2902- 2905 ,(2010) , 10.1109/ICASSP.2010.5496172
Alexandre Ciancio, Sundeep Pattem, Antonio Ortega, Bhaskar Krishnamachari, Energy-efficient data representation and routing for wireless sensor networks based on a distributed wavelet compression algorithm Proceedings of the fifth international conference on Information processing in sensor networks - IPSN '06. pp. 309- 316 ,(2006) , 10.1145/1127777.1127824
Wim Sweldens, The Lifting Scheme: A Construction of Second Generation Wavelets SIAM Journal on Mathematical Analysis. ,vol. 29, pp. 511- 546 ,(1998) , 10.1137/S0036141095289051
Haifeng Hu, Zhen Yang, Spatial correlation-based mobile agent routing algorithm in wireless sensor networks asia-pacific conference on communications. pp. 763- 766 ,(2009) , 10.1109/APCC.2009.5375472
Pablo Vinuelas-Peris, Antonio Artes-Rodriguez, Sensing matrix optimization in Distributed Compressed Sensing 2009 IEEE/SP 15th Workshop on Statistical Signal Processing. pp. 638- 641 ,(2009) , 10.1109/SSP.2009.5278496
Godwin Shen, Sunil Kumar Narang, Antonio Ortega, Adaptive distributed transforms for irregularly sampled Wireless Sensor Networks international conference on acoustics, speech, and signal processing. pp. 2225- 2228 ,(2009) , 10.1109/ICASSP.2009.4960061
Inaki Esnaola, Javier Garcia-Frias, MMSE Estimation of Distributely Coded Correlated Gaussian Sources Using Random Projections global communications conference. pp. 1- 5 ,(2008) , 10.1109/GLOCOM.2008.ECP.673
J. Haupt, W.U. Bajwa, M. Rabbat, R. Nowak, Compressed Sensing for Networked Data IEEE Signal Processing Magazine. ,vol. 25, pp. 92- 101 ,(2008) , 10.1109/MSP.2007.914732
Raymond S. Wagner, Richard G. Baraniuk, Shu Du, David B. Johnson, Albert Cohen, An architecture for distributed wavelet analysis and processing in sensor networks Proceedings of the fifth international conference on Information processing in sensor networks - IPSN '06. pp. 243- 250 ,(2006) , 10.1145/1127777.1127816