In Wireless Sensor Networks (WSNs), maintaining connectivity is crucial due to their dynamic nature. To address this challenge, this paper proposes an "improved schema," a novel approach aimed at enhancing the robustness and efficiency of Mobile Ad Hoc Networks (MANETs). A core advancement in the "improved schema" is its sophisticated neighbor selection algorithm, which considers factors such as node stability, link quality, and proximity. This algorithm ensures the selection of reliable neighbors, thereby improving overall network stability. Another significant improvement in the "improved schema" is the dynamic transmission range adjustment. By adapting transmission ranges in real-time based on current network conditions, the scheme optimizes communication ranges, enhancing network performance in varying environments. Additionally, the scheme leverages knowledge of network topology for pathfinding. By incorporating awareness of the network structure, the "improved schema" identifies more efficient paths for connectivity restoration, thereby minimizing resource utilization and latency. This study conducted extensive simulations to evaluate the performance of the "improved schema" against established schemes, including the Restoring Connectivity through Inward Motion (RIM), Nearest Neighbour (NN), and Survivability-Aware Connectivity Restoration (SACR) strategies. The results consistently demonstrate that the "improved schema" outperforms existing schemes in terms of connectivity robustness, adaptability to dynamic scenarios, and overall network efficiency. These findings underscore the effectiveness of the "improved schema" in addressing the inherent challenges faced by WSNs and MANETs, making it a promising solution for improving network performance in dynamic environments.