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7 December 2023 Intelligent scheduling algorithm for heterogeneous sensor communication big data based on LSTM and cloud computing
Hongtao Ni, Lixia Yan
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Proceedings Volume 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023); 129411L (2023) https://doi.org/10.1117/12.3011567
Event: Third International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 203), 2023, Yinchuan, China
Abstract
In order to reduce the average delay and link utilization of data scheduling and improve the throughput, an intelligent scheduling algorithm for heterogeneous sensor communication big data based on LSTM and cloud computing is proposed. In the cloud computing environment, the amount of scheduling tasks is calculated in partitions, and based on the calculation results, the big data transmission load of heterogeneous sensor communication is predicted by using the Long Short-Term Memory network (LSTM). Get the working status of sensor nodes, classify all nodes, and form a cluster from sensor nodes in the same working status. Divide the heterogeneous sensor communication network into different regions according to different clusters. Calculate the energy consumption of nodes when they are cluster heads and non-cluster heads in a scheduling and the total energy consumption of heterogeneous data scheduling, so as to achieve intelligent scheduling of big data of heterogeneous sensor communication. The experimental results show that the proposed method has low average latency and link utilization, and high throughput, which verifies its application effectiveness.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Hongtao Ni and Lixia Yan "Intelligent scheduling algorithm for heterogeneous sensor communication big data based on LSTM and cloud computing", Proc. SPIE 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023), 129411L (7 December 2023); https://doi.org/10.1117/12.3011567
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KEYWORDS
Data communications
Sensors
Intelligent sensors
Cloud computing
Data modeling
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