Randomized trial explores WSN integration for predictive maintenance in industrial systems, suggesting improved efficiency.
Key Points
This paper aims to explore the integration of Wireless Sensor Networks (WSN) in legacy industrial infrastructures to enhance operational efficiency and predictive maintenance.
Proposed a cross-layer framework for WSN integration addressing challenges in industrial environments.
Analyzed architectural designs to balance energy efficiency with data fidelity.
Simulated deployment of 50 nodes in a high-fidelity fabrication plant environment using Contiki-NG for performance evaluation.
Achieved under 80% mean latency in star-mesh hybrid topology with a 99.9% packet delivery ratio under interference.
Demonstrated 35% increase in operational uptime for nodes using kinetic energy harvesting compared to traditional batteries.
Addressed security vulnerabilities through lightweight encryption and zero trust principles.