iarjetIARJETIARJET2708-5163https://doi.org/10.47310/iarjet.2024.v05i01.002Optimization of Wireless Body Area Network Technique Based on Fog Computing ApproachYaseenNaserJurnDUniversity of Information Technology and Communications, Iraq, Baghdad, 10011Recently, the use of Wireless Networks (WNTs) are increasing daily and the electrical devices are becoming smaller in size. These factors assisted in expanding the use of Wireless Body Area Networks (WBAN) for medical applications. Therefore, on the basis of utilizing the WBAN for health assistance, the patients have no need to longer stay in the hospital. The personal medical-data is detected by human body sensors, then it is transmitted to the specialist (medical team). The body sensors are externally or internally used based on the medical cases; such as measuring the heart rate, body temperature and ECG. Recently, the healthcare system has improved by supporting WBAN using different types of sensors and WNTs practically. In this paper, the WBAN is designed and implemented based on using hardware parts (Arduino and a set of body sensors) with its own programs. The presented WBAN consists of only one accumulator (Fog-computing) and M number of body-sensors. The measured health parameters such as; (temperature, heart rate and ECG) are transmitted to the cloud-computing via Fog-computing using Wi-Fi technique for the purpose of monitoring the patient by a special medical team. These parameters could be monitored locally using LCD-plasma or remotely by laptop, mobile, computer via cloud-computing. Finally, as a future work, the presented WBAN can be utilized for monitoring several patients at a time based on distribution of several WBANs within a special wireless network.