Position Aware Congestion Control (PACC) algorithm for Disaster Management System using WSN to improve QoS

Because of its technical advancements in processors, communication, and low-power utilisation of embedded computing devices, WSN (Wireless Sensor Network) is currently the most widely used service in corporate and industry use. The wireless sensor network design is made up of nodes that monitor variables such as temperatures, humidity, pressure, location, vibration, and sound. These sensor nodes can be used in a variety of real-time applications to perform tasks such as smart monitoring, neighbouring node discovery, information transmission & storing, collection of data, target tracking, supervise and track, synchronisation, node mapping, and efficient routing among the base station and nodes. WSNs are currently being arranged in a more advanced manner. Congestion and collisions are the biggest problems in WSNs. To address this issue, the author introduced the PACC protocol, which contributes to the achievement of good QoS in WSNs such as latency, data delivery ratio, loss ratio, and network channel efficiency. PACC is invented with regression model of Machine learning to improve results. Applications such as patient monitoring systems and disaster management systems operate in real time. Congestion and traffic management are major challenges. This protocol aids in the resolution of this issue and improves network reliability.