[1] |
SHELTAMI T. An enhanced energy saving approach for WSNs[J]. Procedia Computer Science, 2013,21:199-206.
|
[2] |
ZOU P H, LIN Y. A data-aggregation scheme for WSN based on optimal weight allocation[J]. Journal of Networks, 2014,9(1):100-107.
|
[3] |
LAZARIDIS I, MEHROTRA S. Capturing sensor-generated time series with quality guarantees[C]// Proceedings of the 19th International Conference on Data Engineering. 2003:429-440.
|
[4] |
LIM J J, SHIN K G. Energy-efficient self-adapting online linear forecasting for wireless sensor network applications[C]// Proceedings of the 2nd IEEE International Conference on Mobile Ad-hoc and Sensor Systems. 2005:372-379.
|
[5] |
SANTINI S, RMER K. An adaptive strategy for quality-based data reduction in wireless sensor networks[C]// Proceeding of the 3rd International Conference on Networted Sensing System. 2006:29-36.
|
[6] |
WEI G Y, LING Y, GUO B F, et al. Prediction-based data aggregation in wireless sensor networks: Combining grey model and Kalman filter[J]. Computer Communications, 2011,34(6):793-802.
|
[7] |
RAZZAQUE M A, BLEAKLEY C, DOBSON S. Compression in wireless sensor networks: A survey and comparative evaluation[J]. ACM Transactions on Sensor Networks, 2013,10(1):130-173.
|
[8] |
CHU D, DESHPANDE A, HELLERSTEIN J M, et al. Approximate data collection in sensor networks using probabilistic models[C]// Proceedings of the 22nd International Conference on Data Engineering. 2006: Article No.48.
|
[9] |
JAIN A, CHANG E Y, WANG Y F. Adaptive stream resource management using Kalman filters[C]// Proceedings of the 2004 ACM SIGMOD International Conference on Management of Data. 2004:11-22.
|
[10] |
KANAGAL B, DESHPANDE A. Online filtering, smoothing and probabilistic modeling of streaming data[C]// Proceedings of the 24th International Conference on Data Engineering. 2008:1160-1169.
|
[11] |
TULONE D, MADDEN S. PAQ: Time series forecasting for approximate query answering in sensor networks[C]// Proceedings of the 3rd European Conference on Wireless Sensor Networks. 2006:21-37.
|
[12] |
TULONE D, MADDEN S. An energy-efficient querying framework in sensor networks for detecting node similarities[C]// Proceedings of the 9th ACM International Symposium on Modeling Analysis and Simulation of Wireless and Mobile Systems. 2006:191-300.
|
[13] |
GOEL S, IMIELINSKI T. Prediction-based monitoring in sensor networks: Taking lessons from MPEG[J]. ACM SIGCOMM Computer Communication Review, 2001,31(5):82-98.
|
[14] |
RAZA U, BOGLIOLO A, FRESCHI V, et al. A two-prong approach to energy-efficient WSNs: Wake-up receivers plus dedicated, model-based sensing[J]. Ad Hoc Networks, 2016,45:1-12.
|
[15] |
TAN L S, WU M. Data reduction in wireless sensor networks: A hierarchical LMS prediction approach[J]. IEEE Sensors Journal, 2016,16(6):1708-1715.
|
[16] |
余修武,范飞生,周兴利,等. 无线传感器网络自适应预 测加权数据融合算法[J]. 传感技术学报, 2017,30(5):772-776.
|
[17] |
魏煜,嵩天. 无线传感器网络中的数据传输精简算法[J]. 计算机工程与应用, 2018,54(3):100-108.
|
[18] |
NOOR-UL-AMIN M, TAYYAB M. Enhancing the performance of exponential weighted moving average control chart using paired double ranked set sampling[J]. Journal of Statistical Computation and Simulation, 2020,90(6):1118-1130.
|
[19] |
GAURA E I, BRUSEY J, ALLEN M, et al. Edge mining the Internet of things[J]. IEEE Sensors Journal, 2013,13(10): 3816-3825.
|