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• W2606295484 abstract "Healthcare applications in IoT systems have been receiving increasing attention because they help facilitate remote monitoring of patients. In this paper, we propose a reliable oneM2M-based IoT system for Personal Healthcare Devices. In order to use a Personal Healthcare Device as an Application Dedicated Node in the proposed system, a protocol conversion between ISO/IEEE 11073 protocol messages and oneM2M protocol messages is performed in gateways located between Personal Healthcare Devices and the PHD management server. The proposed oneM2M-based IoT system for Personal Healthcare Device is constructed, and evaluated in various experiments. The experiments show that the protocol conversion performs effectively, and that the conversion process does not cause the system to suffer serious performance degradation, even when the number of Application Dedicated Node is quite large.Some Personal Healthcare Device data is too precious to lose due to system failures under u-healthcare environments. However, until now, few studies have focused on fault-tolerant health data services. Therefore, we also propose a fault-tolerant algorithm for the reliable IoT system in which gateways on the same layer in the system are linked to form a daisy chain for fault tolerance at the level, and a gateway stores the backup copy of the previous gateway positioned immediately ahead of the gateway in the daisy chain. The upper-layered gateway stores the parity data of the daisy chain as well. In this manner, as many as two gateway faults occurred at the same time can be recovered. For experiments, the resource trees of the oneM2M-based IoT system were expanded to store information on daisy chains, backup copies, and parity. Our experiments reveal that the proposed algorithm can recover from faults on gateways in the oneM2M-based IoT system." @default.
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• W2606295484 date "2018-01-01" @default.
• W2606295484 modified "2023-09-24" @default.
• W2606295484 title "A reliable IoT system for Personal Healthcare Devices" @default.
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• W2606295484 doi "https://doi.org/10.1016/j.future.2017.04.004" @default.
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