Wireless Body Area Network (WBAN) is an innovative technological approach for universal health care and an essential part of the Internet of Things. WBAN leverages advanced sensing technology for comprehensive data processing and aggregation, enabling intelligent health monitoring. These sensors gather information from an individual’s body and wirelessly send it to a remote coordinator device or server, where this data is examined and analyzed. In WBAN, nodes are energy constrained, and the network topology frequently changes due to human movement or posture changes. Therefore, the connection between the WBAN and the distant server constantly changes. This instability leads to frequent packet loss, resulting in inaccurate data collection. Therefore, efficient use of energy to ensure reliable data transmission becomes critical. As a result, one of the challenges of the current study is obtaining a suitable sink position and providing harmonious connectivity that improves sensor power consumption, security, and privacy. This paper introduces a novel strategic sink positioning method to improve the transfer of essential body information. By evaluating different sink positions (head, left hand, right leg, and waist), the study optimises network lifespan, stability period, throughput, and residual energy, significantly advancing WBAN performance.