A Survey on Wireless Sensor Network with Advance Networking Recent Trends

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U. Satchithanantham
Dr. B. Suresh Kumar

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Wireless Sensory Associations are an indispensable constituent of contemporary data-driven systems, allowing for effective monitoring and management in a variety of settings, including smart cities, industry, healthcare, and agriculture. Energy economy, dependable communication, scalability, and integration with progressive expertise like IoT and edge computing are the main concerns and current developments in WSN architecture that are examined in this study. In order to solve the trade-offs between security, power consumption, and performance, it examines important protocols and algorithms created for optimal routing, data aggregation, and node management. Additionally, the report emphasizes how machine learning and artificial intelligence are becoming more and more important in improving network decision-making and flexibility. This paper highlights important research gaps and suggests future possibilities for creating intelligent, autonomous, and sustainable WSNs that are appropriate for large-scale, real-world applications through a thorough examination.

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