**4. Design Considerations for the Task Offloading**

With respect to the general architecture of IoMT, Wireless Body Area Networks (WBANs) [38,50,51] are installed where various types of sensors are used, most likely activity sensors (e.g., accelerometer), physiological sensors (e.g., heart rate, ECG and body temperature) and environmental sensors (e.g., humidity and air pressure) (see Figure 1). Various types of applications are recognized with enhanced sensing and communication capability, such as biomedical and wearable solutions for health monitoring, human activities control, organ implantation monitoring and remote surgical interventions. These applications require a high data rate, low latency and high quality of services (QoS) [39,40,52], in order to ensure precise, real-time and secure medical applications. With the integration of the IoMT, it is more challenging to identify the most appropriate strategy that enables efficient handling of the intensive and continuous requests from the installed wireless devices on the human body promptly. Moreover, wireless sensor nodes are battery powered, where the lifetime of the battery is directly dependent of the number of executed tasks along the process. Due to this, it is important to increase the computation capacity of battery-powered devices when performing intensive computing tasks while ensuring real-time intervention and data transmission. In this context, the choice of suitable data transmission and communication protocols has a strong influence on the evaluation of the task-offloading algorithm in terms of processing time, energy consumption and computation. In the following, an overview of the most common communication protocols is provided.
