Fog-cloud assisted framework for Heterogeneous Internet of Healthcare Things
Rashmi Chudhary, Shivani Sharma
Abstract
Rapid advancements in the fields of IoT based communication allows seamless connection among several devices allowing them to communicate with each other. This technological integration unlocks the new possibilities in different disciplines including healthcare. Internet of Healthcare Things (IoHT) enabled framework has been followed to provide improved and reliable services and reduce healthcare costs. As heterogeneous and critical healthcare data needs fast response, data analytics of it is a complex problem. To address this challenge, the paper proposes an architecture where data will be forwarded to the fog or cloud layer depending on the traffic type. To handle this issue efficiently, load balancing is done for selecting the appropriate fog/cloud to forward the data from device. Moreover, real time and conventional data are treated differently by the algorithm. To take the forwarding decision software-defined networking has been adapted which ensures to perform the resource allocation and load balancing efficiently. The proposed work focus to reduce the latency and packet loss while maximizing the throughput in e-healthcare systems.