Resilient Wireless Networking: Proactive Link Failure Prediction and Topology Adaptation in Hierarchical Mesh Systems

Anand Singh

doi:10.5281/zenodo.14631514

Resilient Wireless Networking: Proactive Link Failure Prediction and Topology Adaptation in Hierarchical Mesh Systems

Author(s)	Anand Singh
Country	United States
Abstract	Hierarchical mesh-based wireless networks are integral to modern IoT ecosystems and industrial automation, enabling robust and scalable communication across distributed nodes. However, these networks are highly susceptible to link failures caused by environmental and operational factors such as physical obstructions, interference, weather conditions, and signal degradation. Current approaches to addressing link failures primarily rely on reactive mechanisms, such as post-failure re-provisioning or periodic realignment of network nodes based on real-time performance metrics. These methods often result in significant downtime, degraded throughput, and increased operational complexity. This paper proposes a novel predictive framework that proactively addresses link failures in hierarchical mesh networks. The framework leverages machine learning (ML) models trained on historical network performance data—such as Received Signal Strength Indicator (RSSI) patterns, packet retries, and temporal variations—to forecast potential link failures with high accuracy. By anticipating disruptions, the system dynamically reconfigures the network topology to ensure seamless communication and minimal performance degradation. This proactive approach minimizes downtime, enhances network resilience, and outperforms traditional reactive solutions. The framework’s efficacy is validated through simulation studies and real-world testbed experiments, demonstrating significant improvements in downtime reduction through testbed observations and hence significant improvements in throughput and reliability. This work represents a significant step toward resilient and self-healing wireless networks, contributing to the broader field of predictive networking and adaptive systems.
Keywords	-
Field	Engineering
Published In	Volume 9, Issue 1, January-March 2018
Published On	2018-03-08
Cite This	Resilient Wireless Networking: Proactive Link Failure Prediction and Topology Adaptation in Hierarchical Mesh Systems - Anand Singh - IJSAT Volume 9, Issue 1, January-March 2018. DOI 10.5281/zenodo.14631514
DOI	https://doi.org/10.5281/zenodo.14631514
Short DOI	https://doi.org/g8zdrh

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Resilient Wireless Networking: Proactive Link Failure Prediction and Topology Adaptation in Hierarchical Mesh Systems

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