Sustainable IoT specifies the idea of combining IoT technologies in such a manner that reduces ecological impact, enhances resource productivity and encourages prolonged sustainability. Various considerations are there to create IoT sustainability such as energy efficiency, network efficiency, scalability, data security, optimizing resource uses, monitoring etc. With this perspective, deploying the sensor nodes for sustainable IoT and incorporating an energy-efficient clustering method for data transmission to make IoT sustainable. From various research works, it is found that cluster-based routing addresses this issue efficiently, still, some scopes are there for improving the network's performance to select optimal Cluster Head considering some major parameters. The meta-heuristic techniques show some promising results for improving the network's performance in recent research. In the proposed mechanism, the mobility-based Clustering is suggested by adopting the Reverse Glowworm Swarm Optimization (RGSO) method and Dynamic Voronoi Diagram. Voronoi cells are all close to convex polygons to find the largest circle amid a compilation of all points. RGSO assists in achieving the optimal route for node mobility. The experimental results of the algorithm show that it outperforms the conventional existing approaches at different levels of attainment metrics to improve the lifetime of sustainable IoT. An approximate 11% improvement in coverage and 20% improvement in the lifetime of the entire network is observed using the Dynamic Voronoi technique over the non-Voronoi approach.