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  11. Efficient Data Management In Agricultural Iot: Compression, Security, And Mqtt Protocol Analysis

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

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View abstract on PubMed

Summary
This summary is machine-generated.

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.
Keywords:
data compressioninternet of thingsprecision agricultureresource optimization

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  • 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.
    secure communication