With the booming increase of networking-oriented technologies, the implementation of the intelligent data has become a fashionable alternative for enterprises or organizations to create values or improve their existing offerings. However, communications are encountering restrictions caused by the limited energy supplies in mobile computing when the volume of the data requiring wireless transmissions keeps growing in a dramatic manner. This paper focuses on saving energy consumptions in wireless communications and presents a novel optimal solution to deploying multi-channel connections with minimum energy costs. Our approach is called Intelligent Multi-Channel Communication model, which is created to minimize the total energy cost when ensuring the performance meets efficiency demands. We implement experimental evaluations to examine the effectuation of our approach and find that the results meet our design expectations.
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This work was supported in part by the National Natural Science Foundation of China (NSFC) under Grant U1304615, in part by the Science and Technology Research Key Project of Henan Province Science and Technology Department under Grant 162102210172.
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Zhao, H., Qiu, M., Gai, K. et al. Optimal solution to intelligent multi-channel wireless communications using dynamic programming. J Supercomput 75, 1894–1908 (2019). https://doi.org/10.1007/s11227-018-2257-1
- Multi-channel communication
- Dynamic programming
- Intelligent data
- Optimal solution