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Volumn 14, Issue 9, 2014, Pages 16766-16784

WSNs data acquisition by combining hierarchical routing method and compressive sensing

Author keywords

Compressive sensing; Energy efficiency; Hierarchical routing method; Sparse representation; Wireless sensor networks

Indexed keywords

WIRELESS SENSOR NETWORKS;

EID: 84907222814     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s140916766     Document Type: Article
Times cited : (17)

References (27)
  • 1
    • 80052045170 scopus 로고    scopus 로고
    • Random access compressed sensing for energy-efficient underwater sensor networks
    • Fazel, M.; Fazel, F.; Stojanovic, M. Random access compressed sensing for energy-efficient underwater sensor networks. IEEE J. Sel. Areas Commun. 2011, 29, 1160-1670.
    • (2011) IEEE J. Sel. Areas Commun , vol.29 , pp. 1160-1670
    • Fazel, M.1    Fazel, F.2    Stojanovic, M.3
  • 2
    • 84873965470 scopus 로고    scopus 로고
    • Compressed sensing data fusion of monitoring cyanobacteria bloom-forming
    • Wang, R., Xiao, F., Eds.; Springer: Berlin, Germany
    • Zou, Z. Q.; Li, Z. T.; Zhao, H.; Hu, C. C.; Zhang, F. Compressed Sensing Data Fusion of Monitoring Cyanobacteria Bloom-Forming. In Advances in Wireless Sensor Networks; Wang, R., Xiao, F., Eds.; Springer: Berlin, Germany; pp. 744-752.
    • Advances in Wireless Sensor Networks , pp. 744-752
    • Zou, Z.Q.1    Li, Z.T.2    Zhao, H.3    Hu, C.C.4    Zhang, F.5
  • 3
    • 13944283393 scopus 로고    scopus 로고
    • A survey on routing protocols for wireless sensor networks
    • Akkaya, K.; Younis, M. A survey on routing protocols for wireless sensor networks. Ad. Hoc. Netw. 2005, 3, 325-349.
    • (2005) Ad. Hoc. Netw , vol.3 , pp. 325-349
    • Akkaya, K.1    Younis, M.2
  • 5
    • 85032750937 scopus 로고    scopus 로고
    • An introduction to compressive sampling
    • Candès, E. J.; Wakin, M. An introduction to compressive sampling. IEEE Signal Proc. Mag. 2008, 25, 21-30.
    • (2008) IEEE Signal Proc. Mag , vol.25 , pp. 21-30
    • Candès, E.J.1    Wakin, M.2
  • 6
    • 33645712892 scopus 로고    scopus 로고
    • Compressed sensing
    • Donoho, D. Compressed sensing. IEEE Trans. Inf. Theory 2006, 52, 1289-1306.
    • (2006) IEEE Trans. Inf. Theory , vol.52 , pp. 1289-1306
    • Donoho, D.1
  • 8
    • 84868222546 scopus 로고    scopus 로고
    • Expanding window compressed sensing for non-uniform compressible signals
    • Liu, Y.; Zhu, X.; Zhang, L.; Cho, S. H. Expanding window compressed sensing for non-uniform compressible signals. Sensors 2012, 12, 13034-13057.
    • (2012) Sensors , vol.12 , pp. 13034-13057
    • Liu, Y.1    Zhu, X.2    Zhang, L.3    Cho, S.H.4
  • 9
    • 77955383779 scopus 로고    scopus 로고
    • Does compressed sensing improve the throughput of wireless sensor networks
    • Cape Town, South Africa, 23-27 May
    • Luo, J.; Xiang, L.; Rosenberg, C. Does compressed sensing improve the throughput of wireless sensor networks. In Proceedings of the IEEE ICC, Cape Town, South Africa, 23-27 May 2010; pp. 1-6.
    • (2010) Proceedings of the IEEE ICC , pp. 1-6
    • Luo, J.1    Xiang, L.2    Rosenberg, C.3
  • 10
    • 80052807351 scopus 로고    scopus 로고
    • Compressed data aggregation for energy efficient wireless sensor networks
    • Mesh and Ad Hoc Communications and Networks (SECON), Salt Lake City, UT, USA, 27-30 June
    • Xiang, L.; Luo, J.; Vasilakos, A. V. Compressed data aggregation for energy efficient wireless sensor networks. In Proceedings of the 8th IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON), Salt Lake City, UT, USA, 27-30 June 2011; pp. 46-54.
    • (2011) Proceedings of the 8th IEEE Communications Society Conference on Sensor , pp. 46-54
    • Xiang, L.1    Luo, J.2    Vasilakos, A.V.3
  • 11
    • 84867942604 scopus 로고    scopus 로고
    • DECA: Recovering fields of physical quantities from incomplete sensory data
    • Seoul, Korea, 18-21 June
    • Xiang, L.; Luo, J.; Deng, C.; Vasilakos, A.; Lin, W. DECA: Recovering fields of physical quantities from incomplete sensory data. In Proceedings of the 9th IEEE SECON, Seoul, Korea, 18-21 June 2012; pp. 107-115.
    • (2012) Proceedings of the 9th IEEE SECON , pp. 107-115
    • Xiang, L.1    Luo, J.2    Deng, C.3    Vasilakos, A.4    Lin, W.5
  • 12
    • 84882961435 scopus 로고    scopus 로고
    • Compressed data aggregation: Energy-Efficient and high-fidelity data collection
    • Xiang, L.; Luo, J.; Rosenberg, C. Compressed data aggregation: Energy-Efficient and high-fidelity data collection. IEEE/ACM Trans. Netw. 2013, 12, 1722-1735.
    • (2013) IEEE/ACM Trans. Netw , vol.12 , pp. 1722-1735
    • Xiang, L.1    Luo, J.2    Rosenberg, C.3
  • 13
    • 84867899154 scopus 로고    scopus 로고
    • Sensing compression and recovery for WSNS sparse signal modeling and monitoring framework
    • Quer, G.; Masiero, R.; Pillonetto, G.; Rossi, M.; Zorzi, M. Sensing compression and recovery for WSNS sparse signal modeling and monitoring framework. IEEE Trans. Wirel. Commnun. 2012, 11, 3447-3461.
    • (2012) IEEE Trans. Wirel. Commnun , vol.11 , pp. 3447-3461
    • Quer, G.1    Masiero, R.2    Pillonetto, G.3    Rossi, M.4    Zorzi, M.5
  • 14
    • 84878952647 scopus 로고    scopus 로고
    • A dynamic neural network approach for solving nonlinear inequalities defined on a graph and its application to distributed, routing-free, range-free localization of WSNs
    • Li, S.; Qin, F. A dynamic neural network approach for solving nonlinear inequalities defined on a graph and its application to distributed, routing-free, range-free localization of WSNs. Neurocomputing 2013, 117, 72-80.
    • (2013) Neurocomputing , vol.117 , pp. 72-80
    • Li, S.1    Qin, F.2
  • 16
    • 0038171506 scopus 로고    scopus 로고
    • (accessed on 2 September 2013)
    • Smith, L. I. A Tutorial on Principal Components Analysis. Available online: www. ce. yildiz. edu. tr/personal/songul/file/1097/principal_components. pdf (accessed on 2 September 2013).
    • A Tutorial on Principal Components Analysis
    • Smith, L.I.1
  • 17
    • 0000325341 scopus 로고
    • On lines and planes of closest fit to systems of points in space
    • Pearson, K. On lines and planes of closest fit to systems of points in space. Philos. Mag. 1901, 2, 559-572.
    • (1901) Philos. Mag , vol.2 , pp. 559-572
    • Pearson, K.1
  • 18
    • 84883371380 scopus 로고    scopus 로고
    • Does wireless sensor network scale? A measurement study on GreenOrbs
    • Liu, Y.; He, Y.; Li, M.; Wang, J.; Liu, K.; Li, X. Does wireless sensor network scale? A measurement study on GreenOrbs. IEEE Trans. Parallel Distrib. Syst. 2013, 24, 1983-1993.
    • (2013) IEEE Trans. Parallel Distrib. Syst , vol.24 , pp. 1983-1993
    • Liu, Y.1    He, Y.2    Li, M.3    Wang, J.4    Liu, K.5    Li, X.6
  • 23
    • 70349658421 scopus 로고    scopus 로고
    • Distributed data aggregation scheduling in wireless sensor networks
    • Rio de Janeiro, Brazil, 19-25 April
    • Yu, B.; Li, J. Z.; Li, Y. S. Distributed data aggregation scheduling in wireless sensor networks. In Proceedings of the INFOCOM 2009, Rio de Janeiro, Brazil, 19-25 April 2009; pp. 2159-2167.
    • (2009) Proceedings of the INFOCOM 2009 , pp. 2159-2167
    • Yu, B.1    Li, J.Z.2    Li, Y.S.3
  • 24
    • 78649821231 scopus 로고    scopus 로고
    • A Delay efficient algorithm for data aggregation in multi-hop wireless sensor networks
    • Xu, X.; Li, M.; Mao, X.; Tang, S.; Wang, S. A Delay efficient algorithm for data aggregation in multi-hop wireless sensor networks. IEEE Trans. Parallel Distrib. Syst. 2011, 22, 163-175.
    • (2011) IEEE Trans. Parallel Distrib. Syst , vol.22 , pp. 163-175
    • Xu, X.1    Li, M.2    Mao, X.3    Tang, S.4    Wang, S.5
  • 25
    • 33646589837 scopus 로고    scopus 로고
    • An application specific protocol architecture for wireless microsensor networks
    • Heinzelman, W. R.; Chandrakasan, A. P.; Balakrishnan, H. An application specific protocol architecture for wireless microsensor networks. IEEE Trans. Wirel. Commun. 2002, 1, 660-670.
    • (2002) IEEE Trans. Wirel. Commun , vol.1 , pp. 660-670
    • Heinzelman, W.R.1    Chandrakasan, A.P.2    Balakrishnan, H.3
  • 26
    • 51949089156 scopus 로고    scopus 로고
    • PEGASIS: Power-Efficient gathering in sensor information systems
    • Big Sky, MT, USA, 9-16 March
    • Lindsey, S.; Raghavendra, C. S. PEGASIS: Power-Efficient gathering in sensor information systems. In Proceedings of the 2002 IEEE Aerospace Conference, Big Sky, MT, USA, 9-16 March 2002; pp. 1125-1130.
    • (2002) Proceedings of the 2002 IEEE Aerospace Conference , pp. 1125-1130
    • Lindsey, S.1    Raghavendra, C.S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.