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- W4321062767 abstract "Landslide is a frequently occurring natural disaster in the world. It causes massive loss to human lives, property. Thus, landslide disaster mitigation is one of the top priorities for India. This paper proposes design and development of a reliable Landslide Early Warning System (LEWS), which will collect and disseminate real-time data using IoT-Edge network. The existing LEW systems lacks any mechanism to handle the communication failure between the IoT nodes and cloud layer, which reduces their reliability. In real-life scenarios, at times of heavy rainfall, the network loss hinders the decision making process at cloud server. Thus, Edge computing has potential to make an IoT application such as Landslide Early Warning System (LEWS) highly reliable because the edge server keeps the system Up/running in case of communication failure between IoT node and the cloud or cloud crashes.Despite the fact that edge-cloud design fixes the issue of cloud unavailability, what happens if the edge server itself breaks down? At the network’s edge, it creates unheard issues of reliability and fault-tolerance . Until the reliability problems at the network’s edge are fixed, LEWS cannot be entirely reliable. In this research, a unique connection switching method at the network’s edge is proposed as a remedy for edge server failures. Sensor data is diverted to a backup edge server in the event of an edge server failure. If there are many alternative edge servers available, a new edge server is chosen for redirection of sensors data depending on how close it is to the sensors. This makes the whole system reliable and fault-tolerant." @default.
- W4321062767 created "2023-02-17" @default.
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- W4321062767 date "2022-11-24" @default.
- W4321062767 modified "2023-09-27" @default.
- W4321062767 title "Fault Tolerant Edge for Landslide Early Warning System" @default.
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- W4321062767 doi "https://doi.org/10.1109/indicon56171.2022.10040214" @default.
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