J. Abdullah, M. K. Hussien, N. A. Alduais, M. I. Husni, and A. Jamil, Data Reduction Algorithms based on Computational Intelligence for Wireless Sensor Networks Applications, 2019 IEEE 9th Symposium on Computer Applications & Industrial Electronics (ISCAIE), pp.166-171, 2019.

F. Almeida, A. Brayner, J. Rodrigues, and J. Maia, Improving Multidimensional Wireless Sensor Network Lifetime Using Pearson Correlation and Fractal Clustering, Sensors, vol.17, issue.6, p.1317, 2017.

M. Azaza, C. Tanougast, E. Fabrizio, and A. Mami, Smart greenhouse fuzzy logic based control system enhanced with wireless data monitoring, ISA Transactions, vol.61, pp.297-307, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01783744

M. Bermudez-edo, P. Barnaghi, and K. Moessner, Analysing real world data streams with spatio-temporal correlations: Entropy vs. Pearson correlation, Automation in Construction, vol.88, pp.87-100, 2018.

F. Ding, D. Meng, J. Dai, Q. Li, A. Alsaedi et al., Least Squares based Iterative Parameter Estimation Algorithm for Stochastic Dynamical Systems with ARMA Noise Using the Model Equivalence, International Journal of Control, Automation and Systems, vol.16, issue.2, pp.630-639, 2018.

S. E. Díaz, J. C. Pérez, A. C. Mateos, M. Marinescu, and B. B. Guerra, A novel methodology for the monitoring of the agricultural production process based on wireless sensor networks, Computers and Electronics in Agriculture, vol.76, issue.2, pp.252-265, 2011.

C. Habib, A. Makhoul, R. Darazi, and C. Salim, Self-Adaptive Data Collection and Fusion for Health Monitoring Based on Body Sensor Networks, IEEE Transactions on Industrial Informatics, vol.12, issue.6, pp.2342-2352, 2016.
URL : https://hal.archives-ouvertes.fr/hal-02131158

K. P. Musaazi, T. Bulega, and S. M. Lubega, Energy Efficient Data Caching in Wireless Sensor Networks: A Case of Precision Agriculture, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, pp.154-163, 2015.

T. Ojha, S. Misra, and N. S. Raghuwanshi, Wireless sensor networks for agriculture: The state-of-the-art in practice and future challenges, Computers and Electronics in Agriculture, vol.118, pp.66-84, 2015.

G. Rajesh and A. Chaturvedi, Correlation analysis and statistical characterization of heterogeneous sensor data in environmental sensor networks, Computer Networks, vol.164, p.106902, 2019.

C. Razafimandimby, V. Loscrí, A. M. Vegni, D. Aourir, and A. Neri, A Bayesian Approach for an Efficient Data Reduction in IoT, Interoperability, Safety and Security in IoT, pp.3-10, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01620373

C. Razafimandimby, V. Loscri, A. M. Vegni, and A. Neri, Efficient Bayesian Communication Approach for Smart Agriculture Applications, 2017 IEEE 86th Vehicular Technology Conference (VTC-Fall), 2017.
URL : https://hal.archives-ouvertes.fr/hal-01524731

C. Salim, A. Makhoul, R. Darazi, and R. Couturier, Similarity based image selection with frame rate adaptation and local event detection in wireless video sensor networks, Multimedia Tools and Applications, vol.78, issue.5, pp.5941-5967, 2018.
URL : https://hal.archives-ouvertes.fr/hal-02366771

C. Salim and N. Mitton, K-predictions based data reduction approach in WSN for smart agriculture, Computing, pp.1-24, 2020.
URL : https://hal.archives-ouvertes.fr/hal-02975997

C. Salim and N. Mitton, Machine Learning Based Data Reduction in WSN for Smart Agriculture, Advanced Information Networking and Applications, pp.127-138, 2020.
URL : https://hal.archives-ouvertes.fr/hal-02463167

Y. Shen, J. Guo, X. Liu, Q. Kong, L. Guo et al., Long-term prediction of polar motion using a combined SSA and ARMA model, Journal of Geodesy, vol.92, issue.3, pp.333-343, 2017.

X. Shi, Z. Chen, H. Wang, D. Yeung, W. Wong et al., Convolutional lstm network: A machine learning approach for precipitation nowcasting, Proceedings of the 28th International Conference on Neural Information Processing Systems, vol.1, pp.802-810, 2015.

G. B. Tayeh, A. Makhoul, D. Laiymani, and J. Demerjian, A distributed real-time data prediction and adaptive sensing approach for wireless sensor networks, Pervasive and Mobile Computing, vol.49, pp.62-75, 2018.