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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 7, 2019.
Abstract: Smart irrigation is a specific application of the IoT, where devices composed of sensors and actuators, collect environmental data, like soil humidity, air temperature and brightness, in order to lunch or plan irrigation cycles. These systems function according to a configuration that dictates the way in which every component should operate. Static configurations are limited, as they only represent a set of fixed requirements. However, in domains such as the IoT, technology is continuously evolving, and various users, sometimes with various needs, interact with the system. This leads to dynamic requirements, which are fulfilled by dynamic configurations. This purpose uses the case of an irrigation system to illustrate such requirements, and proposes a constrained-based approach to design self-adaptive smart irrigation systems.
Asmaa Achtaich, Nissrine Souissi, Camille Salinesi, Raúl Mazo and Ounsa Roudies, “A Constraint-based Approach to Deal with Self-Adaptation: The Case of Smart Irrigation Systems” International Journal of Advanced Computer Science and Applications(IJACSA), 10(7), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100727
@article{Achtaich2019,
title = {A Constraint-based Approach to Deal with Self-Adaptation: The Case of Smart Irrigation Systems},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100727},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100727},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {7},
author = {Asmaa Achtaich and Nissrine Souissi and Camille Salinesi and Raúl Mazo and Ounsa Roudies}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.