WSNs have truly revolutionised the realisation of real-time data acquisition and processing in almost every area, from the healthcare sector to industrial automation and environmental monitoring. Decentralised data collection is essential for these applications, which necessitate instant feedback and action. WSNs have enormous potential, but processing poses a challenge. Sensor nodes in such a network typically offer very limited computing capabilities and resources for executing significant calculations. This work is connected to the concept of introducing edge computing into WSNs to overcome such problems. In general, this integration is targeted at improving WSN performance, which will be achieved by reducing Latency, utilising bandwidth efficiently, and enhancing data processing efficiency. The primary reason for edge computing is to bring processing closer to the data source. The data source in this case would be the sensor node; this would lead to the immediate analysis of the data, and subsequently, decisions would be made quickly.