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Volumn 25, Issue 1, 2019, Pages 429-438

A hierarchical adaptive spatio-temporal data compression scheme for wireless sensor networks

Author keywords

Data sorting; Discrete cosine transform; Hierarchical network; Spatio temporal compression; Wavelet transform; Wireless sensor networks

Indexed keywords

COMPUTER SYSTEM RECOVERY; DATA COMPRESSION; DATA COMPRESSION RATIO; DISCRETE COSINE TRANSFORMS; DISCRETE WAVELET TRANSFORMS; SIGNAL RECONSTRUCTION; SORTING; WAVELET TRANSFORMS;

EID: 85027864275     PISSN: 10220038     EISSN: 15728196     Source Type: Journal    
DOI: 10.1007/s11276-017-1570-6     Document Type: Article
Times cited : (16)

References (34)
  • 1
    • 84890123606 scopus 로고    scopus 로고
    • Energy-efficient distributed data storage for wireless sensor networks based on compressed sensing and network coding
    • Yang, X., Tao, X., Dutkiewicz, E., et al. (2013). Energy-efficient distributed data storage for wireless sensor networks based on compressed sensing and network coding. IEEE Transactions on Wireless Communications, 12(10), 5087–5099
    • (2013) IEEE Transactions on Wireless Communications , vol.12 , Issue.10 , pp. 5087-5099
    • Yang, X.1    Tao, X.2    Dutkiewicz, E.3
  • 2
    • 84894584290 scopus 로고    scopus 로고
    • Transmission-efficient clustering method for wireless sensor networks using compressive sensing
    • Xie, R., & Jia, X. (2014). Transmission-efficient clustering method for wireless sensor networks using compressive sensing. IEEE Transactions on Parallel and Distributed Systems, 25(3), 806–815
    • (2014) IEEE Transactions on Parallel and Distributed Systems , vol.25 , Issue.3 , pp. 806-815
    • Xie, R.1    Jia, X.2
  • 3
    • 78649325208 scopus 로고    scopus 로고
    • Color image compression algorithm based in the DCT transform combined to an adaptive block scanning
    • Douak, F., Benzid, R., & Benoudijit, N. (2011). Color image compression algorithm based in the DCT transform combined to an adaptive block scanning. AEU-International Journal of Electronics and Communications, 65(1), 16–26
    • (2011) AEU-International Journal of Electronics and Communications , vol.65 , Issue.1 , pp. 16-26
    • Douak, F.1    Benzid, R.2    Benoudijit, N.3
  • 7
    • 84984867351 scopus 로고    scopus 로고
    • Data sorting-based adaptive spatial compression in wireless sensor networks
    • Chen, S., Liu, J., Wang, K., et al. (2016). Data sorting-based adaptive spatial compression in wireless sensor networks. KSII Transactions on Internet and Information Systems, 10(8), 3641–3655
    • (2016) KSII Transactions on Internet and Information Systems , vol.10 , Issue.8 , pp. 3641-3655
    • Chen, S.1    Liu, J.2    Wang, K.3
  • 12
    • 84929320803 scopus 로고    scopus 로고
    • Spatiotemporal compressive network coding for energy-efficient distributed data storage in wireless sensor networks
    • Gong, B., Cheng, P., Liu, N., et al. (2015). Spatiotemporal compressive network coding for energy-efficient distributed data storage in wireless sensor networks. IEEE Communications Letters, 19(5), 803–806
    • (2015) IEEE Communications Letters , vol.19 , Issue.5 , pp. 803-806
    • Gong, B.1    Cheng, P.2    Liu, N.3
  • 13
    • 84963604738 scopus 로고    scopus 로고
    • Neighbor-aided spatio-temporal compressive data gathering in wireless sensor networks
    • Quan, L., Xiao, S., Xue, X., et al. (2016). Neighbor-aided spatio-temporal compressive data gathering in wireless sensor networks. IEEE Communications Letters, 20(3), 578–581
    • (2016) IEEE Communications Letters , vol.20 , Issue.3 , pp. 578-581
    • Quan, L.1    Xiao, S.2    Xue, X.3
  • 14
    • 84910131350 scopus 로고    scopus 로고
    • Compressive network coding for error control in wireless sensor networks
    • Chen, S., Wu, M., Wang, K., et al. (2014). Compressive network coding for error control in wireless sensor networks. Wireless Networks, 20(8), 2605–2615
    • (2014) Wireless Networks , vol.20 , Issue.8 , pp. 2605-2615
    • Chen, S.1    Wu, M.2    Wang, K.3
  • 16
    • 84923456856 scopus 로고    scopus 로고
    • Hierarchical data aggregation using compressive sensing (HDACS) in WSNs
    • Xu, X., Ansan, R., Khokhar, A., et al. (2015). Hierarchical data aggregation using compressive sensing (HDACS) in WSNs. ACM Transactions on Sensor Networks, 11(3), 1–5
    • (2015) ACM Transactions on Sensor Networks , vol.11 , Issue.3 , pp. 1-5
    • Xu, X.1    Ansan, R.2    Khokhar, A.3
  • 17
    • 84962439600 scopus 로고    scopus 로고
    • Structured compressive sensing-based spatial-temporal joint channel estimation for FDD massive MIMO
    • Gao, Z., Dai, L., Dai, W., et al. (2016). Structured compressive sensing-based spatial-temporal joint channel estimation for FDD massive MIMO. IEEE Transaction on Communications, 64(2), 601–617
    • (2016) IEEE Transaction on Communications , vol.64 , Issue.2 , pp. 601-617
    • Gao, Z.1    Dai, L.2    Dai, W.3
  • 18
    • 84987940013 scopus 로고    scopus 로고
    • Compressive network coding for wireless sensor networks: Spatio-temporal coding and optimization design
    • Chen, S., Zhao, C., Wu, M., et al. (2016). Compressive network coding for wireless sensor networks: Spatio-temporal coding and optimization design. Computer Networks, 108, 345–356
    • (2016) Computer Networks , vol.108 , pp. 345-356
    • Chen, S.1    Zhao, C.2    Wu, M.3
  • 20
    • 84897073796 scopus 로고    scopus 로고
    • Image cryptographic algorithm based on the Haar wavelet transform
    • Tedmori, R. S., & Al-Najdawi, N. (2014). Image cryptographic algorithm based on the Haar wavelet transform. Information Sciences, 269(11), 21–34
    • (2014) Information Sciences , vol.269 , Issue.11 , pp. 21-34
    • Tedmori, R.S.1    Al-Najdawi, N.2
  • 21
    • 84938675552 scopus 로고    scopus 로고
    • An effective clustering approach with data aggregation using multiple mobile sinks for heterogeneous WSN
    • Krishnan, A. M., & Kumar, P. G. (2016). An effective clustering approach with data aggregation using multiple mobile sinks for heterogeneous WSN. Wireless Personal Communications, 90(2), 423–434
    • (2016) Wireless Personal Communications , vol.90 , Issue.2 , pp. 423-434
    • Krishnan, A.M.1    Kumar, P.G.2
  • 22
    • 84930505429 scopus 로고    scopus 로고
    • An alternative clustering scheme in WSN
    • Izadi, D., Abawajy, J., & Ghanavati, S. (2015). An alternative clustering scheme in WSN. IEEE Sensors Journal, 15(7), 4148–4155
    • (2015) IEEE Sensors Journal , vol.15 , Issue.7 , pp. 4148-4155
    • Izadi, D.1    Abawajy, J.2    Ghanavati, S.3
  • 23
    • 0038688015 scopus 로고    scopus 로고
    • Bubble sort: an archaeological algorithmic analysis
    • Astranchan, O. (2003). Bubble sort: an archaeological algorithmic analysis. ACM SIGCSE Bulletin, 35(1), 1–5
    • (2003) ACM SIGCSE Bulletin , vol.35 , Issue.1 , pp. 1-5
    • Astranchan, O.1
  • 24
    • 85060501832 scopus 로고    scopus 로고
    • Intel Lab Data
    • Intel Lab Data. http://dB.csail.mit.edu/labdata/Labdata.html
  • 25
    • 84897018016 scopus 로고    scopus 로고
    • A distributed compressive sensing technique for data gathering in wireless sensor networks
    • Masoum, A., Meratnia, N., & Havinga, P. J. M. (2013). A distributed compressive sensing technique for data gathering in wireless sensor networks. Procedia Computer Science, 21, 207–216
    • (2013) Procedia Computer Science , vol.21 , pp. 207-216
    • Masoum, A.1    Meratnia, N.2    Havinga, P.J.M.3
  • 26
    • 84985919928 scopus 로고    scopus 로고
    • A low-complexity power allocation strategy to minimize sum-source-power for multi-user single-AF-relay networks
    • Wang, S., Ruby, R., Leung, V. C., et al. (2016). A low-complexity power allocation strategy to minimize sum-source-power for multi-user single-AF-relay networks. IEEE Transactions on Communications, 64(8), 3275–3283
    • (2016) IEEE Transactions on Communications , vol.64 , Issue.8 , pp. 3275-3283
    • Wang, S.1    Ruby, R.2    Leung, V.C.3
  • 27
    • 84964440184 scopus 로고    scopus 로고
    • Energy-efficient power allocation for multi-user single-AF-relay underlay cognitive radio networks
    • Wang, S., Ruby, R., Leung, V. C., et al. (2016). Energy-efficient power allocation for multi-user single-AF-relay underlay cognitive radio networks. Computer Networks, 103, 115–128
    • (2016) Computer Networks , vol.103 , pp. 115-128
    • Wang, S.1    Ruby, R.2    Leung, V.C.3
  • 28
    • 84968626499 scopus 로고    scopus 로고
    • An energy-efficient reliable data transmission scheme for complex environmental monitoring in underwater acoustic sensor networks
    • Wang, K., Gao, H., Xu, X., et al. (2016). An energy-efficient reliable data transmission scheme for complex environmental monitoring in underwater acoustic sensor networks. IEEE Sensors Journal, 16(11), 4051–4062
    • (2016) IEEE Sensors Journal , vol.16 , Issue.11 , pp. 4051-4062
    • Wang, K.1    Gao, H.2    Xu, X.3
  • 29
    • 85037048454 scopus 로고    scopus 로고
    • Accelerated distributed optimization design for reconstruction of big sensory data
    • Chen, S., Wang, K., Zhao, C., et al. (2017). Accelerated distributed optimization design for reconstruction of big sensory data. IEEE Internet of Things Journal,. doi:10.1109/JIOT.2017.2709810
    • (2017) IEEE Internet of Things Journal
    • Chen, S.1    Wang, K.2    Zhao, C.3
  • 30
    • 84966441148 scopus 로고    scopus 로고
    • Signal and artificial noise beamforming for secure simultaneous wireless information and power transfer multiple-input multiple-output relaying systems
    • Zhang, G., Li, X., Cui, M., et al. (2016). Signal and artificial noise beamforming for secure simultaneous wireless information and power transfer multiple-input multiple-output relaying systems. IET Communications, 10(7), 796–804
    • (2016) IET Communications , vol.10 , Issue.7 , pp. 796-804
    • Zhang, G.1    Li, X.2    Cui, M.3
  • 31
    • 84921682402 scopus 로고    scopus 로고
    • Signal-to-interference-plus-noise ratio-based multi-relay beamforming for multi-user multiple-input multiple-output cognitive relay networks with interference from primary network
    • Zhang, G., Li, Q., Zhang, Q., et al. (2015). Signal-to-interference-plus-noise ratio-based multi-relay beamforming for multi-user multiple-input multiple-output cognitive relay networks with interference from primary network. IET Communications, 9(2), 227–238
    • (2015) IET Communications , vol.9 , Issue.2 , pp. 227-238
    • Zhang, G.1    Li, Q.2    Zhang, Q.3
  • 32
    • 84921479434 scopus 로고    scopus 로고
    • LDPA: A local data processing architecture in ambient assisted living communications
    • Wang, K., Shao, Y., Shu, L., et al. (2015). LDPA: A local data processing architecture in ambient assisted living communications. IEEE Communications Magazine, 53(1), 56–63
    • (2015) IEEE Communications Magazine , vol.53 , Issue.1 , pp. 56-63
    • Wang, K.1    Shao, Y.2    Shu, L.3
  • 33
    • 84962034263 scopus 로고    scopus 로고
    • Mobile big data fault-tolerant processing for eHealth networks
    • Wang, K., Shao, Y., Shu, L., et al. (2016). Mobile big data fault-tolerant processing for eHealth networks. IEEE Network, 30(1), 1–7
    • (2016) IEEE Network , vol.30 , Issue.1 , pp. 1-7
    • Wang, K.1    Shao, Y.2    Shu, L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.