Mobile Smart Dust Networks play a crucial role in the Internet of Things (IoT) ecosystem, with their nodes contributing significantly to various tasks. However, these nodes primarily deplete energy, raising concerns regarding the overall lifespan of the system. The primary objective of this research is to reduce the energy consumption of these nodes, thereby extending the lifespan of the entire Smart Dust Network. This study proposes a novel clustering approach specifically designed for Smart Dust Networks aimed at reducing network energy consumption, which, in turn, significantly extends the network lifespan. The methodology primarily focuses on the allocation of Cluster Heads among the mobile nodes within the network. Simulations conducted in Network Simulator 2 (NS2) demonstrate a significant reduction in network energy consumption, consequently extending the network lifespan.