I. F. Akyildiz and W. Su, Wireless sensor networks: a survey, Computer Networks, 2002.

C. Alippi and G. Anastasi, Adaptive sampling for energy conservation in wireless sensor networks for snow monitoring applications, MASS, 2007.

K. H. Ang and G. Chong, PID control system analysis, design, and technology, Transactions on Control Systems Technology, 2005.

A. L. Aquino and O. S. Junior, Musa: multivariate sampling algorithmfor wireless sensor networks, Transactions on Computers, 2014.

S. Bajaj and L. Breslau, Improving simulation for network research, 1999.

D. Boyle and B. Srbinovski, Energy analysis of industrial sensors in novel wireless shm systems, SENSORS, 2012.

E. J. Candès and B. Recht, Exact matrix completion via convex optimization, Foundations of Computational Mathematics, 2009.

E. J. Candès and M. B. Wakin, An introduction to compressive sampling, Signal Processing Magazine, 2008.

S. Chatterjea and P. Havinga, An adaptive and autonomous sensor sampling frequency control scheme for energy-efficient data acquisition in wireless sensor networks, DCOSS, 2008.

J. Cheng and H. Jiang, Efficient data collection with sampling in wsns: making use of matrix completion techniques, GLOBECOM, 2010.

J. Cheng and Q. Ye, Stcdg: An efficient data gathering algorithm based on matrix completion for wireless sensor networks, Transactions on Wireless Communications, 2013.

D. Chu and A. Deshpande, Approximate data collection in sensor networks using probabilistic models, ICDE, 2006.

A. Deshpande and C. Guestrin, Model-driven data acquisition in sensor networks, VLDB, 2004.

D. L. Donoho, Compressed sensing. Transactions on Information Theory, 2006.
URL : https://hal.archives-ouvertes.fr/inria-00369486

A. M. Elzanati and M. F. Abdelkader, A collaborative approach for compressive spectrum sensing, Handbook of Research on Software-Defined and Cognitive Radio Technologies for Dynamic Spectrum Management, 2015.

L. Fan and L. Xiong, Fast: differentially private real-time aggregate monitor with filtering and adaptive sampling, SIGMOD, 2013.

E. I. Gaura and J. Brusey, Edge mining the internet of things, Sensors, 2013.

B. Gedik and L. Liu, Asap: An adaptive sampling approach to data collection in sensor networks, TPDS, 2007.

D. Goldsmith and J. Brusey, The spanish inquisition protocol-model based transmission reduction for wireless sensor networks, SENSORS, 2010.

M. Healy and T. Newe, Wireless sensor node hardware: A review, SENSORS, 2008.

A. Jain and E. Y. Chang, Adaptive sampling for sensor networks, VLDB, 2004.

H. Jiang and S. Jin, Prediction or not? an energy-efficient framework for clustering-based data collection in wireless sensor networks, 2011.

R. E. Kalman, A new approach to linear filtering and prediction problems, 1960.

D. Laiymani and A. Makhoul, Adaptive data collection approach for periodic sensor networks, IWCMC, 2013.
URL : https://hal.archives-ouvertes.fr/hal-01222995

A. Lazerson and D. Keren, Lightweight monitoring of distributed streams, 2018.

C. Luo and F. Wu, Compressive data gathering for large-scale wireless sensor networks, 2009.

S. Madden, Intel lab data, 2004.

S. R. Madden and M. J. Franklin, Tinydb: an acquisitional query processing system for sensor networks, 2005.

M. Mahmudimanesh and A. Khelil, Reordering for better compressibility: Efficient spatial sampling in wireless sensor networks, SUTC, 2010.

, Balanced spatio-temporal compressive sensing for multi-hop wireless sensor networks, MASS, 2012.

X. Meng and L. Li, Event contour: An efficient and robust mechanism for tasks in sensor networks, Tech. rep, 2004.

C. Olston and J. Widom, Best-effort cache synchronization with source cooperation, SIGMOD, 2002.

P. Padhy and R. K. Dash, A utility-based sensing and communication model for a glacial sensor network, AAMAS, 2006.

V. Raghunathan and C. Schurgers, Energy-aware wireless microsensor networks. Signal Processing Magazine, 2002.

S. Santini and K. Romer, An adaptive strategy for quality-based data reduction in wireless sensor networks, INSS, 2006.

A. Silberstein and R. Braynard, Constraint chaining: on energy-efficient continuous monitoring in sensor networks, SIGMOD, 2006.

A. Singh and R. Nowak, Active learning for adaptive mobile sensing networks, IPSN, 2006.

I. Solis and K. Obraczka, Efficient continuous mapping in sensor networks using isolines, MobiQuitous, 2005.

B. Srbinovski and M. Magno, An energy aware adaptive sampling algorithm for energy harvesting wsn with energy hungry sensors, Sensors, 2016.

P. Szczytowski and A. Khelil, Adaptive spatial sampling in wireless sensor networks, SUTC, 2010.

J. Traub and S. Breß, Optimized on-demand data streaming from sensor nodes, 2017.

D. Trihinas and G. Pallis, An adaptive monitoring framework for sampling and filtering on iot devices, Big Data, 2015.

M. C. Vuran and Ö. B. Akan, Spatio-temporal correlation: theory and applications for wireless sensor networks, Computer Networks, 2004.

C. Wang and H. Ma, Adaptive approximate data collection for wireless sensor networks, Transactions on Parallel and Distributed Systems, 2012.

J. Wang and S. Tang, Data gathering in wireless sensor networks through intelligent compressive sensing, INFOCOM, 2012.

R. Willett and A. Martin, Backcasting: adaptive sampling for sensor networks, IPSN, 2004.

Y. Xu and W. Lee, Cme: A contour mapping engine in wireless sensor networks, ICDCS, 2008.

Y. Yao and Q. Cao, Edal: An energy-efficient, delay-aware, and lifetime-balancing data collection protocol for heterogeneous wireless sensor networks, 2015.

S. Zeuch and A. Chaudhary, The nebulastream platform for data and application management in the internet of things