🌐 A Resilient Energy-Efficient Framework for Jamming Mitigation in Cluster-Based Wireless Sensor Networks 🔋🛰️
In the era of smart communication and IoT evolution, Wireless Sensor Networks (WSNs) play a crucial role in connecting devices intelligently. However, these networks face severe threats such as jamming attacks, which disrupt communication by interfering with signal transmission. To counter this, a resilient and energy-efficient framework has been designed to ensure secure, stable, and long-lasting network performance. 🌱✨
🧠 1. Introduction: The Need for Resilient WSNs
Wireless Sensor Networks consist of numerous tiny sensor nodes that collect and transmit data. But when malicious jammers block the communication channels, energy gets drained and network efficiency drops. Hence, the proposed framework focuses on sustainability, robustness, and adaptability to protect against such disturbances. ⚙️💡
🔰 2. Energy-Efficient Mechanism
The framework introduces cluster-based communication, where nodes are grouped into clusters with a Cluster Head (CH) managing data aggregation. This approach reduces redundant transmissions, minimizes power consumption, and extends network lifetime. 🔋🌿
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Subtopic 1: Dynamic CH selection based on residual energy and node stability.
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Subtopic 2: Sleep–wake scheduling to conserve energy during idle periods.
🛰️ 3. Jamming Detection and Mitigation
The system employs real-time anomaly detection to identify jamming attempts through irregular traffic patterns, signal fluctuations, and packet delays. Once detected, nodes reroute communication paths to bypass the jammed region. 🚨🔄
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Subtopic 1: Signal strength analysis using adaptive thresholding.
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Subtopic 2: Secure re-clustering algorithms for quick recovery and resilience.
🧩 4. Adaptive Routing and Security
Using machine learning-based routing protocols, the framework adapts dynamically to changing network conditions. Nodes exchange encrypted data through optimized paths, ensuring both security and energy conservation. 🤖🔐
🌍 5. Performance Evaluation and Impact
Simulation results show enhanced packet delivery ratio, lower energy depletion, and improved network stability even under severe jamming conditions. The model’s scalability and self-healing nature make it ideal for smart cities, environmental monitoring, and military applications. 🏙️🌳⚔️
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