The main concern of fog computing is reducing data transmission on the cloud. Moreover, due to the short distance between end-user and fog nodes, fog computing is considered more reliable to handle time-sensitive situations like the critical data provided by the internet of things (IoT). This may include sensory healthcare data which needs rapid processing to make decisions. However, in healthcare monitoring systems, it is necessary to ensure the services' availability when fog node failure occurred. The issue of monitoring service interruption during fog node failure has not received much attention. This paper proposes a multi-route plan that aims to identify an alternative route to ensure the availability of time-critical medical services. Various scenarios have been designed to evaluate the performance of the proposed strategy. The experimental results illustrate the superiority of the approach in terms of latency, energy consumption, and network usage in comparison with the most recent related work.
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