Review on Workload and Resource Allocation in Edge-Based Wireless Body Area Networks

An emerging and novel technology known as wireless body area networks (WBANs) has proven to be promising and is now widely used in the field of human health monitoring as a result of the exponential growth in the demand for medical services. This paper reviews the edge computing-based WBAN communication architecture, resource and workload allocation, and optimization techniques widely used in edge computing applications. Most of the current works review resource and workload allocation methods for edge computing, but not specifically for the WBAN. This paper contributes to bridging the gap by highlighting the edge computing findings in relation to WBAN.