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Efficient Data Management in Agricultural IoT: Compression, Security, and MQTT Protocol Analysis.
Mislav Has1, Dora Kreković1, Mario Kušek1
1Internet of Things Laboratory, Faculty of Electrical Engineering and Computing, University of Zagreb, HR-10000 Zagreb, Croatia.
Sensors (Basel, Switzerland)
|June 19, 2024
Summary
This study optimizes data transmission for agricultural Internet of Things (IoT) devices. Combining Huffman coding and AES encryption significantly reduces data size and enhances security for resource-constrained farming technology.
Area of Science:
- Agricultural Technology
- Computer Science
- Data Security
Background:
- Internet of Things (IoT) integration in agriculture offers optimization and sustainability.
- Resource-constrained IoT devices face challenges in managing data traffic and ensuring security.
- Efficient data management is crucial for agricultural IoT performance and usability.
Purpose of the Study:
- To study data generation by IoT protocols for resource-constrained devices.
- To optimize data transmission in agricultural IoT solutions.
- To evaluate compression algorithms and secure technologies for minimizing data traffic and protecting sensitive data.
Main Methods:
- Comprehensive study of data transmission optimization in agricultural IoT.
- Evaluation of various compression algorithms, focusing on Huffman coding.
- Integration and assessment of encryption techniques, specifically AES.
- Analysis of different communication scenarios to determine optimal efficiency.
Main Results:
- Huffman coding effectively reduces data size and optimizes resource usage.
- AES encryption ensures data security with minimal overhead.
- A combination of Huffman encoding and AES encryption provides the best balance between security and efficiency.
Conclusions:
- Optimized data transmission is achievable in agricultural IoT through compression and encryption.
- Huffman coding and AES encryption are effective solutions for resource-constrained agricultural IoT devices.
- The proposed approach enhances the performance and security of sustainable farming technologies.
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