Parallel Genetic Algorithm to Extend the Lifespan of Internet of Things in 5G Networks

Parallel Genetic Algorithm to Extend the Lifespan of Internet of Things in 5G Networks

With the development and popularization of 5G networks, the coverage problem of the Internet of Things (IoT) will encounter the massive-node problem. In this paper, we design a parallel genetic algorithm that divides the coverage problem of IoTs with massive nodes into many small problems and then s...

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Bibliographic Details
Main Authors: Ying Zhang, Weihong Yu, Xiaodong Chen, Jianhui Jiang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
5G networks
Internet of Things
parallel computing
genetic algorithm
Online Access:https://ieeexplore.ieee.org/document/9173588/

Internet

https://ieeexplore.ieee.org/document/9173588/

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