An Energy Efficient and Secure IoT-Based WSN Framework: An Application to Smart Agriculture

Area of Science:

• Agricultural Technology
• Wireless Sensor Networks
• Internet of Things

Background:

• Wireless sensor networks (WSNs) are crucial in agriculture for monitoring and precision farming.
• IoT-based WSNs in agriculture face challenges with limited sensor resources (processing, energy, memory) and security vulnerabilities.
• Ensuring efficient data transmission and protection against adversaries is vital for smart agriculture.

Purpose of the Study:

• To propose an IoT-based WSN framework for smart agriculture applications.
• To enhance communication performance and security for agricultural sensors.
• To address the limitations of sensor resources and protect against malicious attacks.

Main Methods:

• Developed an IoT-based WSN framework with distinct design levels for smart agriculture.
• Implemented a multi-criteria decision function for selecting cluster heads among agricultural sensors.
• Utilized signal-to-noise ratio (SNR) for efficient data transmission and a linear congruential generator for data security.

Main Results:

• The proposed framework demonstrated significant improvements in smart agriculture.
• Average enhancements include 13.5% in network throughput, 38.5% reduction in packet drop ratio, 13.5% decrease in network latency, 16% reduction in energy consumption, and 26% decrease in routing overheads.
• Security was enhanced for data transmission from sensors to base stations.

Conclusions:

• The proposed IoT-based WSN framework effectively improves communication performance and security in smart agriculture.
• The framework addresses resource limitations of agricultural sensors while enhancing intelligent farming decisions.
• This solution offers a robust and efficient approach for modern precision agriculture.