Issue |
E3S Web Conf.
Volume 297, 2021
The 4th International Conference of Computer Science and Renewable Energies (ICCSRE'2021)
|
|
---|---|---|
Article Number | 01061 | |
Number of page(s) | 7 | |
DOI | https://doi.org/10.1051/e3sconf/202129701061 | |
Published online | 22 September 2021 |
Performance comparison of communication protocol algorithms in WSN based agriculture: PlanTech case study
E2SN, ENSAM, STIS, Mohammed V University in Rabat, Morocco
* Corresponding author, e-mail: soufiane.kaissari@um5s.net.ma
Wireless sensor networks (WSN) have become increasingly important in agriculture in recent years because they provide critical tools for better decision-making (knowledge -collection- storage- analysis-dissemination of data). These technologies provide resources for making informed decisions and implementing control measures on time. They are also essential tools for understanding the effects of climate change on agriculture, such as shrinking arable land and providing solutions to mitigate the negative consequences of these phenomena. In this paper, we propose a model based on WSN for the supervision of agricultural data. We investigate the impact of deterministic, random, and selective CH routing protocols on the network’s lifetime, residual energy, and exchanged information quantity. The deterministic CH protocol showed significant results in terms of the number of functional nodes and the energy consumption in the network. Thus, the selective CH protocol outperformed both protocols regarding the quantity of exchanged data in the network.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.