<p>Multimedia transmission (MMT) in wireless sensor networks (WSNs) presents unique challenges and considerations due to the resource-constrained nature of these networks. WSNs are typically composed of numerous small, low-power, and low-cost sensor nodes that collaborate to gather and transmit data from their surroundings, where optimizing communication across these heterogeneous nodes can be complex. To overcome this issue this paper proposes a cross-layer approach for MMT in WSNs through cross-layer optimization for cluster head (CH) selection and optimal routing of multimedia data without delay. The proposed methodology integrates a unified optimization model known as the Prey- predator Chasing (PPC) optimizerto enhance network clustering methods, and network path selection offering robust solutions for the efficient transmission of multimedia data within WSNs. The synergistic integration of these hybrid optimization algorithms harnesses their collective strengths, enabling improved resource allocation, data routing, and network performance. By employing PPC, this research advances the capabilities of WSNs in handling multimedia traffic, contributing to the development of more reliable and efficient WSNswith both energy efficiency and minimum data transmission delay. The results of the research show that node power utilization is reduced by implementing a cross-layer optimization method, and the throughput is also increased.</p>