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As the Wireless sensor network (WSN) has significant part in Internet of Things (IoT), it is utilized in various applications such as sensing environment and transmitting data via the internet. Nevertheless, due to the problem of heavy congestion, WSN based IoT obtains longer delay, higher ratio of packet loss and lower throughput. Although machine learning algorithms have been presented by researchers for detecting the congested data in IoT, detection accuracy is further to be improved. So, todoi:10.22247/ijcna/2021/209710 fatcat:krlmmocmebaatlgsaun2yzl7li