| Title | Context Aware Fog-Assisted Vital Sign Monitoring System: Design and Implementation |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Revathi, K., Tamilselvi, T., Tamilselvi, K., Shanthakumar, P., Samydurai, A. |
| Conference Name | 2022 International Conference on Edge Computing and Applications (ICECAA) |
| Keywords | cloud computing, context awareness, Context-aware services, cost effective, Fog Computing, human factors, Internet of Things, Metrics, microcontrollers, Pervasive Computing Security, pubcrawl, resilience, Resiliency, Scalability, security, Servers |
| Abstract | The Internet of Things (IoT) aims to introduce pervasive computation into the human environment. The processing on a cloud platform is suggested due to the IoT devices' resource limitations. High latency while transmitting IoT data from its edge network to the cloud is the primary limitation. Modern IoT applications frequently use fog computing, an unique architecture, as a replacement for the cloud since it promises faster reaction times. In this work, a fog layer is introduced in smart vital sign monitor design in order to serve faster. Context aware computing makes use of environmental or situational data around the object to invoke proactive services upon its usable content. Here in this work the fog layer is intended to provide local data storage, data preprocessing, context awareness and timely analysis. |
| DOI | 10.1109/ICECAA55415.2022.9936287 |
| Citation Key | revathi_context_2022 |
Context Aware Fog-Assisted Vital Sign Monitoring System: Design and Implementation