Enhancing Quality of service in IoT Healthcare services using Fog Computing

Data is generated from various heterogeneous sources in healthcare. To manage and process large amount of healthcare data, cloud computing has been proposed as a solution. However, some challenges like high latency, bandwidth and energy consumption are associated with such solution that reduces the associated quality of service associated. As heath data sets become larger, the probability of occurring errors in processing and transmitting data increases as well. In order to overcome the challenges, fog computing technology has been introduced. Fog computing is considered as an extension of cloud computing. It's primarily objective is to assist with cloud computing and lately reduces the processing burden of cloud computing. Fog computing helps to provide decentralization of resources, reduced latency and finally improves the overall quality of service in healthcare being the latency sensitive system. Fog computing supports the real-time interaction to update and process the patient data. In first part of the paper, characteristics of fog computing is being defined. And in the second part, an idea is proposed to process data at fog node.