Artificial Intelligence and Optimization Techniques for Wireless Sensor Networks

Dear Colleagues,

Wireless Sensor Networks (WSNs) are an integral aspect of modern technology, with applications ranging from environmental monitoring to industrial automation. However, the increasing complexity and demands of these networks require their performance, scalability and adaptability to be enhanced via advanced solutions, with artificial intelligence and optimization algorithms emerging as key technologies in this field.

This Special Issue seeks contributions that delve into this topic of research, presenting both theoretical advancements and the practical implementation of advanced mathematical tools for WSNs. The scope of this Special Issue includes, but is not limited to, the following topics:

• Sensor deployment and coverage optimization
• Sensor fusion and data aggregation techniques
• Advanced target tracking and localization algorithms
• Predictive maintenance and anomaly detection
• AI-based fault detection and network security
• Advanced sensor calibration methods
• Optimization algorithms for network management
• Energy-efficient routing protocols and resource allocation
• Methods addressing scalability and performance under constrained environments
• Edge computing and real-time processing in WSN
• Resource and information management
• Performance analysis and simulations of optimized WSNs

This Special Issue provide a platform for researchers and practitioners to address these research issues, fostering the development of impactful, AI-driven solutions in WSNs.

Dr. Rubén Ferrero-Guillén
Dr. Alberto Martínez-Gutiérrez
Dr. Javier Díez-González
Guest Editors

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