Conceptual Framework for the Optimization of Edge Device Workload Allocation in Wireless Body Area Networks

Wireless body area networks (WBANs), a relatively new technology that has emerged in response to the exponential growth in the demand for healthcare, have shown themselves to be promising and are already being utilized extensively in the field of human health monitoring. Within the scope of this paper, a conceptual framework of an optimal workload allocation algorithm for edge computing-based WBAN systems is presented. Users can enhance their WBAN system by optimizing the workload allocation algorithms, which will result in a reduction in latency, energy consumption, job failure, and communication load. A final evaluation of the effectiveness of the proposed strategy was carried out, and the results of the experiment demonstrate that the proposed approach was successful in improving the quality of the system by lowering the number of transmission failures and the amount of power that was consumed.