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- Type of Document: Article
- Publisher: Institute of Electrical and Electronics Engineers Inc , 2023
- Abstract:
- Fog computing plays a crucial role in bridging resource-constrained internet of things (IoT) devices and distant clouds by processing requests from IoT devices in a timely manner. In this paper, we present the Many-to-One (M2One) offloading algorithm taking into account mobile fog nodes. In particular, M2One identifies a coordinator fog node to distribute those requests to other fog nodes as well as cloud servers. The coordinator node is selected based primarily on computing capacity and signal strength. The actual offloading decisions are made considering computing capacity, queuing delay, transmission and propagation delay, channel status, and battery level of mobile fog nodes. Our evaluation study conducted in a simulated healthcare scenario has demonstrated the effectiveness of M2One. Results show that the proposed algorithm reduces request service delay by 35% on average, compared to that with clouds. Copyright 2023 KICS
- Keywords:
- Computation offloading ; Fog computing ; Health-care monitoring system ; Internet of things
- Source: APNOMS 2023 - 24th Asia-Pacific Network Operations and Management Symposium: Intelligent Management for Enabling the Digital Transformation ; 2023 , Pages 24-29 ; 978-899500439-5 (ISBN)
- URL: https://ieeexplore.ieee.org/document/10258131