7th International Conference on ICTCS 2022

Authors - Nitish Kumar, Himanshu Verma, Naveen Chauhan, Lalit Kumar Awasthi
Abstract - The Internet of Medical Things has been helping greatly to reduce the pressure on medical resources and hospitals. Being a time sensitive system, quick responses from the medical system are of utmost importance. The current system comprises wireless sensor networks and cloud computing. However, cloud computing faces the drawback of low latency, which could be fatal in healthcare. Fog computing can provide solutions to overcome delays and get real-time responses. In the fog assisted IoMT, devices are deployed near the sensing devices at the network’s edge. However, these fog devices could deal with massive data volumes and have minimal resource capacity for processing this data. Therefore, it may lead to offloading data from fog nodes to other nodes in the network for processing. Hence, designing efficient algorithms to ensure minimal delay in data processing and offloading is currently the need of time. This paper proposes a framework for data processing and offloading in the fog layer. The results are analyzed and compared in terms of latency and response time with the existing cloud systems using extensive simulations.