Energy-Efficient X-Layer Intrusion Detection System for Agriculture Atmosphere Monitoring Using Wireless Sensor Networks
| International Journal of Electronics and Communication Engineering |
| © 2024 by SSRG - IJECE Journal |
| Volume 11 Issue 1 |
| Year of Publication : 2024 |
| Authors : S. Helga Selvin, A. Devi |
10.14445/23488549/IJECE-V11I1P112
How to Cite?
S. Helga Selvin, A. Devi, "Energy-Efficient X-Layer Intrusion Detection System for Agriculture Atmosphere Monitoring Using Wireless Sensor Networks," SSRG International Journal of Electronics and Communication Engineering, vol. 11, no. 1, pp. 150-161, 2024. Crossref, https://doi.org/10.14445/23488549/IJECE-V11I1P112
Abstract:
In modern agriculture, monitoring and maintaining optimal atmospheric conditions are critical for crop health and productivity. Wireless Sensor Networks (WSNs) have emerged as a valuable technology for collecting real-time data from agricultural environments. However, deploying WSNs in agriculture exposes them to security threats, making intrusion detection essential. We propose an Energy-Sensitive Clustering algorithm with an X-Layer Intrusion Detection System (XLIDS) tailored for Agriculture Atmosphere Monitoring using WSNs to address this challenge. Our IDS leverages the unique characteristics of WSNs and employs an X-layer approach to enhance detection accuracy while minimizing energy consumption. The system monitors WSN protocol stack layers, including the physical, data connection, network, and application layers, to identify and mitigate intrusions effectively. Our system employs clustering algorithms to optimize energy usage to organize sensor nodes efficiently. This reduces the communication overhead and extends the network’s lifetime. The IDS model provides real-time alerts to farmers and agricultural operators, allowing them to take immediate action when security threats or anomalies are detected, thereby safeguarding the data and the crops.
Keywords:
Wireless Sensor Network, Precision agriculture, X-Layer Intrusion Detection System, Atmosphere monitoring, Energy-sensitive clustering.
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