Smart Agricultural Management Scheme Based on Low-Power Wireless Sensor Network
China is a big agricultural country, and its agricultural development has always been one of the important goals of our country's development. How to use existing information and communication technologies to promote agricultural development has become one of the main problems facing agricultur...
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Published in | Journal of Multimedia Information System Vol. 11; no. 1; pp. 101 - 108 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
한국멀티미디어학회
31.03.2024
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Subjects | |
Online Access | Get full text |
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Summary: | China is a big agricultural country, and its agricultural development has always been one of the important goals of our country's development. How to use existing information and communication technologies to promote agricultural development has become one of the main problems facing agriculture at this stage. This paper proposes a smart agricultural management scheme utilizing advanced embedded sensing and communication technologies. Aiming at the specific application scenario of intelligent greenhouse, an intelligent greenhouse monitoring system based on low-power wireless sensor network technology is proposed. In order to reduce the energy consumption of the network so as to prolong the usage time, this paper designs an improved LEACH algorithm. The designed algorithm optimizes the selection function of the cluster head node in the clustering stage. In this stage, factors such as the distribution of the nodes in the clustering, the distance between the node and the base station, and the effective radius of the base station to receive messages are introduced. The condition for whether a node can be repeatedly selected as the head node is added to the node selection function. The experimental comparison results with three advanced algorithms prove that our algorithm is significantly better than the comparison method in terms of extending network life and improving network throughput. The designed method can reduce the energy that the wireless sensor networks consume and improve the application prospects of smart agriculture. KCI Citation Count: 0 |
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ISSN: | 2383-7632 2383-7632 |
DOI: | 10.33851/JMIS.2024.11.1.101 |