Abstract
Wireless Body Sensor Network (WBSN) based healthcare applications are categorized as those delay-sensitive online services that could not tolerate delay because of its negative and dangerous consequences on people’s lives. Hence, many researchers try to propose novel approaches in order to improve the Quality of Service in online healthcare systems. As the network architecture plays an important role in providing a suitable level of QoS for any kind of applications, we aim to evaluate the performance of two different paradigms with different architectures, namely Cloud and Fog computing on performance of a WBSN based healthcare application. Using Cloud architecture for processing and storage of provided data by WBSNs has been deeply discussed in the literature. As Cloud resources are only accessible through the Internet, any network failure or Internet disconnection causes a high response time which is not tolerable by healthcare applications. In this paper, we investigate the role of Fog computing on reducing the response time and Internet traffic for a WBSN based healthcare application in a real-world test-bed. The achieved results show that in comparison to Cloud, the Fog-based architecture reduces the response time and Internet traffic by 46% and 77% respectively.
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