1. A Novel Binary Slime Mould Algorithm with AU Strategy for Cognitive Radio Spectrum Allocation
- Author
-
Xiao-Xue Sun, Shu-Chuan Chu, Tien-Szu Pan, Ling Li, and Jeng-Shyang Pan
- Subjects
Scheme (programming language) ,General Computer Science ,Computer science ,business.industry ,Cognitive radio ,Binary number ,Computational intelligence ,Economic shortage ,Binary optimization ,Spectrum allocation ,Frequency allocation ,Computational Mathematics ,Slime mold ,Wireless ,Slime mould algorithm ,business ,Algorithm ,computer ,Research Article ,computer.programming_language - Abstract
Spectrum has now become a scarce resource due to the continuous development of wireless communication technology. Cognitive radio technology is considered to be a new method to solve the shortage of spectrum resources. The spectrum allocation model of cognitive radio can effectively avoid the waste of spectrum resources. A novel binary version of slime mould algorithm is proposed for the spectrum allocation model to solve the spectrum allocation scheme. In addition, adding unselected factors strategy can make the approach find a better solution. Compared with other algorithms, the novel binary slime mould algorithm and the strategy of adding unselected factors proposed in this paper have a good performance in spectrum allocation. The resulting spectrum allocation scheme can achieve efficient use of network resources.
- Published
- 2021
- Full Text
- View/download PDF