Artificial Intelligence Enabled Wireless Sensor Networks

The monograph explores how Artificial Intelligence (AI) integrates into Wireless Sensor Networks (WSNs), transforming their capabilities. Beginning with WSN basics, the study covers AI's evolution, objectives, and scope. It delves into AI fundamentals, machine learning, and deep learning for WSNs. AI-driven data collection, adaptive sampling, and collaborative sensing are highlighted. Real-time data processing, edge computing, and data fusion are explored. The role of cognitive radio, spectrum sensing, and AI-based spectrum management in WSNs is discussed. Security and privacy are major concerns, including AI-based intrusion detection, privacy-preserving data management, and secure communication. Future trends involve 5G integration, while ethical challenges like data privacy and fairness are addressed. In conclusion, AI revolutionizes WSNs but managing ethics is crucial for responsible deployment, unlocking their potential in various applications.

Autorentext

J. Jebamalar Tamilselvi a obtenu un doctorat dans le département des applications informatiques de l'université de Karunya. V Saravanan a obtenu un doctorat en informatique à l'université de Bharathiar.Mme T. Kanimozhi travaille comme professeur adjoint dans le département des sciences et applications informatiques au SRM Institute of Science and Technology, Chennai.