Hybrid Optimization Algorithm for Clustering and Energy‐Efficient Power Allocation Model in D2D Multicast Network

ABSTRACT To realize the predictable abilities of 5G networks, several technological progressions were deliberated. In wireless areas, there is an important surge in the extensive application of 5G technology because of multimedia applications. In the present cellular networks, multimedia content dissemination services have met with many challenges while achieving the desired performance. The worst channel condition with receiving user‐support data rate and all multicast group members are served by the conventional multimedia transmission model. For all receiving users, the requirement of various different quality of experience (QoE) and a satisfied quality of service (QoS) was discussed recently. Nonetheless, several researchers have not concentrated on the enhancement of energy efficiency. Under reliable QoE constraint, this work proposed a new hybridized delayed velocity particle white shark swarm (hybrid DVPWS 2 ) algorithm in a multicast device‐to‐device (D2D) network to optimize the energy efficiency as well as the better allocation of power. The D2D clustering model is achieved by using an agglomerative hierarchy clustering (AHC). To design a multimedia content dissemination model based on energy efficiency, the proposed model combines and is used to allocate inter and intra‐cluster D2D multicast with the cellular network. MATLAB software handles the implementation part and reveals the superiority of the proposed method over previous works.