Application of AI and ML for sensor data analysis

Wireless sensor networks (WSNs) have made significant progress in recent years and are now regarded as reliable study fields. The source field and sink of a wireless network are provided by a large number of wireless sensor nodes that make up a wireless sensor network (WSN). Wireless sensor networks (WSNs) offer the capacity to sense the nearby nodes, do computations, and wirelessly connect to other nodes. WSN is used in various fields, including the military, tracking, monitoring remote environments, surveillance, the healthcare industry, and more. The challenges for more advanced technology and development have grown as a result of widespread application. This Review paper offers a comprehensive analysis of the recent trends and advancements in sensor technology in wireless communication in the context of Machine learning (ML) and Artificial intelligence (AI) applied to sensor data.