An investigation on applicability of Ad-hoc routing protocols in Fog-assisted smart health care system

Abstract

Cloud computing is widely adopted as it provides real-time services to users on a respectable scale in alignment with pay-per-use models. The heterogeneity and lively characteristics of the cloud network's components make failure inevitable. The failure also has an impact on the cloud service's dependability and accessibility. A computer paradigm called fog brings cloud computing services closer to edge hardware. Fog computing is being used more and more in applications that require faster real-time services, and the healthcare industry has embraced it heavily due to the urgent need to save lives. This work is aimed to investigate the suitable ad-hoc routing protocol for fog-assisted smart health monitoring system. By simulating with the network simulator NS-2 and using throughput, latency, and packet delivery ratio (PDR) as assessment criteria, the effectiveness of routing protocols is assessed. The protocols Ad-hoc on-demand Distance Vector (AODV), Destination Sequenced Distance Vector (DSDV), Dynamic Source Routing (DSR), and Optimized Link State Routing (OLSR) are being tested. The AODV exhibits encouraging results with other comparative protocols.