<p>In Wireless Sensor Networks (WSNs), the positioning system is critical research domain due to extensive application across various domains such as, healthcare and precision agriculture. Accurate localization of sensor nodes is vital for the efficient deployment and operation of WSNs to ensure optimal coverage and enhanced performance. For the real-time scenarios, popularly, range based and range free methods are implemented for sensor node position determination. The key challenge in range based methods lies in assessing the distances accurately, as this impacts overall precision of the positioning system. The range estimation is mainly influenced by environmental factors which affect the signal propagation in turn resulting in inaccuracies during distance estimation. In the range free methods, which rely on connectivity information between sensor nodes, any disruptions or changes in network topology can affect the accuracy of localization, making these methods less reliable in dynamic environments. In the current article, we analyse the performance of range based positioning using Classical Multi-Dimensional Scaling (CMDS) techniques and Geometric Dilution of Precision (GDOP). The results from this study reveal that implementation of MDS technique with GDOP improves the accuracy of sensor node positioning by 77%, 53%, and 31%, when 4, 3, and 2 anchor nodes are deployed, respectively. These findings underscore the significant impact of anchor node quantity on localization accuracy, highlighting the effectiveness of the proposed approach in enhancing WSN performance.</p>