| Autor: |
Shen Zhiping, Sun Qian, Wang Xiaoyi, Xu Jiping, Zhang Huiyan, Wang Li |
| Jazyk: |
čínština |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
Dianzi Jishu Yingyong, Vol 46, Iss 3, Pp 76-79 (2020) |
| Druh dokumentu: |
article |
| ISSN: |
0258-7998 |
| DOI: |
10.16157/j.issn.0258-7998.191073 |
| Popis: |
Aiming at the problem of uneven distribution of traditional wireless sensor networks, the optimization process of the cuckoo algorithm was improved based on Adam optimization algorithm, and the elimination probability of the cuckoo algorithm was improved by the learning rate attenuation method. With network coverage as the optimization goal, the mathematical coverage of the network coverage is used to describe the node coverage optimization problem of the water quality sensor network. Finally, the original cuckoo algorithm is compared with three other improved algorithms to prove that the improved cuckoo algorithm can be used. Fewer iterations allow better coverage of the water quality sensor network. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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