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- W4290996884 abstract "Nowadays, massive Internet of Things (MIoT) devices play an essential role due to their easy deployment. In remote areas, although MIoT devices have difficulties accessing cellular networks directly, they can upload their collected information via the passing mobile carriers like vehicles. Considering the limited transmission range of MIoT devices and significant signaling overhead, it is necessary to preprocess these data before sending them to the vehicles. In this paper, we first formulate an energy-minimization problem to determine the optimal number of cluster heads and the optimal size of files while guaranteeing the transmission delay. After selecting cluster heads, a routing strategy is devised to enhance the link reliability further. The above optimization problems can be solved by the proposed Multi-Layer Clustering-Routing (MLCR) Algorithm. Numerical results prove the efficiency of the proposed MLCR Algorithm in MIoT data preprocessing and show a tradeoff problem between energy consumption and route reliability." @default.
- W4290996884 created "2022-08-13" @default.
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- W4290996884 date "2022-05-16" @default.
- W4290996884 modified "2023-09-24" @default.
- W4290996884 title "A Clustering-Routing Method to Preprocess Data for Massive Internet of Things" @default.
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- W4290996884 doi "https://doi.org/10.1109/icc45855.2022.9838513" @default.
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