Currently, the heterogeneous node deployment schemes employed in sensor network applications for monitoring tasks suffer from suboptimal operational efficiency. To address this issue, this paper proposes the Optimal Deployment of Heterogeneous Node Positions in a Single-Sink Network (ODHNSS) algorithm. By jointly considering key performance indicators such as network coverage, the ratio of communication distance to communication radius, and the proportion of sleeping nodes, the algorithm establishes principled criteria for selecting optimal heterogeneous node locations, thereby enabling energy-aware optimization of heterogeneous node deployment in wireless sensor networks. Simulation experiments were conducted using MATLAB to comparatively evaluate the performance of ODHNSS against two state-of-the-art algorithms, Three-Tier Extended Energy-Efficient Clustering Hierarchy (TEEECH) and Optimal Deployment of Heterogeneous Nodes (ODHN). Results demonstrate that, relative to both benchmarks, ODHNSS significantly improves data transmission efficiency while simultaneously reducing overall network energy consumption, thus providing robust technical support for advancing wireless sensor monitoring network technologies.