Research on Energy Use and Saving Strategy of Forestry IoT Nodes Based on LoRa
Authors: 
Yang Dai, Junqiu Li, Qinghui Zhang, Jian RongAuthors Info & Claims
Yang Dai, Junqiu Li, Qinghui Zhang, Jian RongAuthors Info & ClaimsPages 1640 - 1649
Abstract
For the forestry Internet of Things (IoT) systems deployed in the wilderness, the energy consumption of sensor nodes and energy-saving mechanisms are of paramount importance. This study focuses on the energy consumption analysis of various sensors, node controls, and communication devices in the forestry IoT system. Through the design of sensor power shutdown strategies, node sleep strategies, and incremental transmission strategies, it aims to maximize energy savings and improve energy utilization efficiency. By implementing the incremental transmission strategy, data compression can be performed with minimal computational energy expenditure, reducing the number of data transmissions and conserving node energy. Experimental results demonstrate that, when utilizing a 1000mAh lithiumion battery, the implementation of energy-saving strategies enables the node to sustain operation for up to 400 hours, significantly extending the lifespan of the forestry IoT system. The results of this study can be applied to the actual deployment of forestry IoTs, effectively extending node life, and improving network reliability.
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Index Terms
- Research on Energy Use and Saving Strategy of Forestry IoT Nodes Based on LoRa
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Published In
October 2023
1809 pages
ISBN:9798400708305
DOI:10.1145/3650400
Copyright © 2023 ACM.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 17 April 2024
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- Refereed limited
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- This study were financially supported by the Scientific Research Foundation of Yunnan Education Department
Conference
EITCE 2023
EITCE 2023: 2023 7th International Conference on Electronic Information Technology and Computer Engineering
October 20 - 22, 2023
Xiamen, China
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Overall Acceptance Rate 508 of 972 submissions, 52%
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