To get over various obstacles in networks, this research effort uses an efficient suggested technique called dynamic and optimized routing technique including secure transmission in WSN. By employing secure fuzzy logic optimization, it finds a stable solution that satisfies the delay requirement while providing load balancing and optimum path selection. An dynamic detection-based safety and confidence routing mechanism called Active Trust is suggested for WSNs so as to conquer security challenges. The main improvement of Active Trust is in its ability to thwart attacks by actively generating several detection pathways, which enable prompt nodal trust acquisition and enhance data route security. Our suggested plan reduces failures at the link, node, and/or network level while optimizing end-to-end connection. With secure fuzzy logic optimization routing (SFLOR), the most effective route for data forwarding and analysis to the base node is determined by taking energy efficiency into account as a primary consideration. By using energy as a fitness metric to evaluate several routes and choose the optimal path by means of the lowest energy utilization relative to alternative routing paths, the SFLOR creates an entirely novel routing path.