Jamming attack is one of the most threat-based issues in wireless sensor networks in the Internet of Things (IoT). Most of the jamming detection mechanisms are used for low-range detection. Jamming attacks are primarily performed in a time interval and signal strength based on IoT WSN. The problem with existing jamming detection solutions using localized jamming detection systems is that it needs to be lead to detect the jamming attacks adequately. The cost for node communication and overhead is the problem in IoT WSN. The proposed will use the Deep learning-based Complex Leap Collection based CNN method to detect the jamming attack. The Jamming detection mechanism enhances the passive, non-node-centric, and low-overhead network. In WSN, the quantum search algorithm finds the energy level in multiple nodes. The most practical algorithm is used WSN to find time intervals and signal lengths. The N-to-N multipath routing algorithm finds various routes to send several nodes in IoT WSN.