IoT-based wireless communication technology is an emerging technology involved in the provision of advanced communication for ubiquitous services. The drastic development of sensor devices leads to the effective realization of IoT technology based on the sensor environment. The IoT uses the cloud platform to process and manage a vast range of data. The integration of the cloud in the IoT platform leads to the acquisition of data, parallel processing, and dynamic resources. The implementation of the cloud in the IoT platform is subjected to a vast range of energy utilization. Hence, it is necessary to develop an appropriate scheme for secure communication in the IoT cloud environment. This paper proposed an LSTM-based cloud server IoT model for energy reduction in the IoT environment with the weighted probability estimation features. The proposed model is termed as the LSTMwpm for the estimation of the features in the IoT environment. Based on the computation of the energy level of the nodes the data transmission path is computed. Upon the estimated data transmission path the messages are transferred with the CH layer and base layer. The simulation analysis expressed that the proposed LSTMwpm model exhibits a higher alive node count of 1000 and a reduced dead node count. The estimated a number of a message transmitted in the layer expressed that base layer exhibits the value of 1000 messages in the network