| Autor: |
Kailu MENG, Keqiang YUE, Junna SHANG |
| Jazyk: |
čínština |
| Rok vydání: |
2017 |
| Předmět: |
|
| Zdroj: |
Dianxin kexue, Vol 33, Pp 56-65 (2017) |
| Druh dokumentu: |
article |
| ISSN: |
1000-0801 |
| DOI: |
10.11959/j.issn.1000-0801.2017311 |
| Popis: |
To further enhance the location precision of unknown nodes and solve the node location error in wireless sensor network,a location method based on cellular automata bat algorithm was presented.Mixed the idea of cellular automata and the bat algorithm and drawed into the cellular RCS niche technique and disaster mechanism,the algorithm could jump out of local optimum and increase the convergence speed.In order to verify the feasibility and efficiency,the proposed algorithm was verified through simulation of several benchmark functions.Then the algorithm implemented the CA-BA to node location prediction to increase the precision of the unknown node location.In the measured experiment,the results show that the proposed algorithm has higher accuracy compared to the improved PSO algorithm,which average localization error is less than 0.5m. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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