Layered adaptive compression design for efficient data collection in industrial wireless sensor networks
暂无分享,去创建一个
[1] Michael Elad,et al. Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries , 2006, IEEE Transactions on Image Processing.
[2] Song Guo,et al. Green Resource Allocation Based on Deep Reinforcement Learning in Content-Centric IoT , 2018, IEEE Transactions on Emerging Topics in Computing.
[3] Xiao Xue,et al. Neighbor-Aided Spatial-Temporal Compressive Data Gathering in Wireless Sensor Networks , 2016, IEEE Communications Letters.
[4] Deanna Needell,et al. CoSaMP: Iterative signal recovery from incomplete and inaccurate samples , 2008, ArXiv.
[5] Ning Liu,et al. Practical Spatiotemporal Compressive Network Coding for Energy-Efficient Distributed Data Storage in Wireless Sensor Networks , 2015, 2015 IEEE 81st Vehicular Technology Conference (VTC Spring).
[6] Deris Stiawan,et al. Energy-aware optimal clustering in wireless sensor network using integer/linear programming , 2016, 2016 8th International Conference on Information Technology and Electrical Engineering (ICITEE).
[7] Song Guo,et al. A Survey on Energy Internet: Architecture, Approach, and Emerging Technologies , 2018, IEEE Systems Journal.
[8] Meng Wu,et al. Compressive network coding for error control in wireless sensor networks , 2014, Wirel. Networks.
[9] Liming Zhang,et al. A Novel Multiresolution Spatiotemporal Saliency Detection Model and Its Applications in Image and Video Compression , 2010, IEEE Transactions on Image Processing.
[10] Victor C. M. Leung,et al. Compressive network coding for wireless sensor networks: Spatio-temporal coding and optimization design , 2016, Comput. Networks.
[11] Meng Wu,et al. A hierarchical adaptive spatio-temporal data compression scheme for wireless sensor networks , 2019, Wirel. Networks.
[12] Richard G. Baraniuk,et al. Random Filters for Compressive Sampling and Reconstruction , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.
[13] Lida Xu,et al. Compressed Sensing Signal and Data Acquisition in Wireless Sensor Networks and Internet of Things , 2013, IEEE Transactions on Industrial Informatics.
[14] Bilal Muhammad Khan,et al. IWSN - Standards, Challenges and Future , 2016, IEEE Potentials.
[15] Meng Wu,et al. DCT-Based Adaptive Data Compression in Wireless Sensor Networks , 2016, 2016 25th International Conference on Computer Communication and Networks (ICCCN).
[16] Yixiong Feng,et al. Big Data Analytics for System Stability Evaluation Strategy in the Energy Internet , 2017, IEEE Transactions on Industrial Informatics.
[17] Weifeng Lu,et al. Fog Computing Based Optimized Compressive Data Collection for Big Sensory Data , 2018, 2018 IEEE International Conference on Communications (ICC).
[18] Nazanin Rahnavard,et al. CStorage: Distributed Data Storage in Wireless Sensor Networks Employing Compressive Sensing , 2011, 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011.
[19] Meng Wu,et al. Clustered Spatio-Temporal Compression Design for Wireless Sensor Networks , 2015, 2015 24th International Conference on Computer Communication and Networks (ICCCN).
[20] Richard G. Baraniuk,et al. Kronecker Compressive Sensing , 2012, IEEE Transactions on Image Processing.
[21] Emina Soljanin,et al. Decentralized Coding Algorithms for Distributed Storage in Wireless Sensor Networks , 2010, IEEE Journal on Selected Areas in Communications.
[22] Niki Pissinou,et al. Identification and Validation of Spatio-Temporal Associations in Wireless Sensor Networks , 2009, 2009 Third International Conference on Sensor Technologies and Applications.
[23] Der-Jiunn Deng,et al. Wireless Big Data Computing in Smart Grid , 2017, IEEE Wireless Communications.
[24] Özgür B. Akan,et al. Spatio-temporal correlation: theory and applications for wireless sensor networks , 2004, Comput. Networks.
[25] Song Guo,et al. Green Energy Scheduling for Demand Side Management in the Smart Grid , 2018, IEEE Transactions on Green Communications and Networking.
[26] Donghai Bao,et al. A novel multi-dictionary framework with global sensing matrix design for compressed sensing , 2018, Signal Process..
[27] Siguang Chen,et al. Accelerated Distributed Optimization Design for Reconstruction of Big Sensory Data , 2017, IEEE Internet of Things Journal.
[28] Siguang Chen,et al. Cluster-Aware Kronecker Supported Data Collection for Sensory Data , 2018, 2018 27th International Conference on Computer Communication and Networks (ICCCN).
[29] Luca Benini,et al. Distributed Compressive Sampling for Lifetime Optimization in Dense Wireless Sensor Networks , 2012, IEEE Transactions on Industrial Informatics.
[30] Song Guo,et al. Green Industrial Internet of Things Architecture: An Energy-Efficient Perspective , 2016, IEEE Communications Standards.
[31] Ning Liu,et al. Spatiotemporal Compressive Network Coding for Energy-Efficient Distributed Data Storage in Wireless Sensor Networks , 2015, IEEE Communications Letters.
[32] Volkan Cevher,et al. Model-Based Compressive Sensing , 2008, IEEE Transactions on Information Theory.
[33] Song Guo,et al. Distributed Energy Management for Vehicle-to-Grid Networks , 2017, IEEE Network.
[34] Seung Woo Son,et al. Lossy compression on IoT big data by exploiting spatiotemporal correlation , 2017, 2017 IEEE High Performance Extreme Computing Conference (HPEC).
[35] Gerhard P. Hancke,et al. Industrial Wireless Sensor Networks: Challenges, Design Principles, and Technical Approaches , 2009, IEEE Transactions on Industrial Electronics.
[36] Mohamed Ali Moussa,et al. Spatio-Temporal Compressive Sensing Technique for Data Gathering and Anomaly Detection in Wireless Sensor Networks , 2017, Q2SWinet@MSWiM.