<p>Porous elastic materials are widely used in the power Internet of Things, especially in temperature and vibration detection of equipment. Micro-fans used in small spaces of power equipment achieve adaptive cooling and heat dissipation. Due to these applications, examining their dynamic responses can lead to smarter and better designs and an enhancement in efficiency. In this paper, the wave transmission behavior of intelligent poroelastic micro-fans is investigated in-depth. Firstly, the problem should be formulated by establishing a comprehensive understanding of the underlying mechanics. To inspect the small size effects, nonlocal elasticity theory is implemented alongside the improved power-law homogenization scheme, which is used to obtain effective material properties. Notably, the novelty of this work lies in the unique integration of these advanced theories with Hamilton’s energy method, enabling a more precise capture of size-dependent dynamic responses than conventional approaches. Additionally, providing a robust mathematical framework for the analysis, the governing equations for the system are derived using the Hamilton energy method. To prove the method’s effectiveness, accuracy, and reliability, all outcomes are verified by comparing them with the previous works. Furthermore, the dynamic behaviors are visualized in detail under various conditions and parameters. The all-inclusive remarks would serve as a guide for the future optimal design of smart material systems.</p>