Wireless sensor networks, or WLANs, are the networks most essential to the development of many Internet of Things (IoT)-based applications. These intelligent gadgets do, however, have limitations in processing, memory, energy, and calculation. Moreover, attaining Quality of Service (QoS) with secure data transfer is one of the main obstacles for WSNs. To improve security and quality of service while using less energy in wireless sensor networks (WSNs), this paper suggests effective energy-aware secure data transmission models. Initially, the network randomly deploys the sensor nodes (SNs), and they register with the base station (BS). Next, the Low-energy Adaptive Clustering Hierarchy (LEACH) process is applied to choose the cluster head. Once the cluster head has been selected, the clusters are organised according to the cluster head. After that, the Enhanced Coronavirus Mask Protection Algorithm (ECMPA) is used to enable the best routing procedure. The Oppositional Function (OF) and Coronavirus Mask Protection Algorithm (CMPA) are combined in the suggested technique. This hybrid algorithm takes into account multiple measurements and the secure trust parameter to offer the best possible routing process. The data are then sent using the shortest path possible. The model’s performance efficiency above current methods for security, quality of service, and energy efficiency (EE) are demonstrated by the findings. NS2 is used in the implementation of the suggested method.