Abstract
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.
Highlights
With the world's population rapidly increasing, as well as the negative effects of climate change and other unforeseen circumstances on agricultural sustainability and farmers' ability to produce enough food to feed a population expected to reach 9 billion by 2050, agricultural sustainability and farmers' ability to produce enough to feed the world's population are under threat
In order to implement the optimal communication protocol in our PlanTech project, we evaluated the performances of the Deterministic cluster head (CH), Random CH, and Selective CH algorithms
We defined three key performance indicators (KPIs) for selecting the optimal protocol: the number of functional nodes, the network's power, and the amount of information exchanged in the network
Summary
With the world's population rapidly increasing, as well as the negative effects of climate change and other unforeseen circumstances on agricultural sustainability and farmers' ability to produce enough food to feed a population expected to reach 9 billion by 2050, agricultural sustainability and farmers' ability to produce enough to feed the world's population are under threat. One of the main concerns of major farmers is their ability to track and identify early environmental and physical factors [1] that impede production and crop yield, allowing them to take the appropriate preventive measures to mitigate the negative impact of climate and other factors on agricultural processes. WSNs are composed of a large number of wirelessly networked sensors that must function in a potentially hostile environment for an extended period of time without human interference. The selection of routing strategies is critical for WSNs. All routing protocols have the same goals [3], such as network survivability, availability and service; increasing sensor network lifetime [4]; reducing complexity; controlling energy consumption efficiently; minimizing mission-critical information transmission delays; and improving WSN efficiency
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