Analysis and simulation of the dynamic spectrum allocation based on parallel immune optimization in cognitive wireless networks.
Spectrum allocation is one of the key issues to improve spectrum efficiency and has become the hot topic in the research of cognitive wireless network. This paper discusses the real-time feature and efficiency of dynamic spectrum allocation and presents a new spectrum allocation algorithm based on t...
| Publicado en: | Scientific World Journal pp. 623670 - 623671 |
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| Autores principales: | , , |
| Formato: | research Journal Article |
| Publicado: |
Wiley-Blackwell
2014
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=109756968&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 109756968 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 1537744X 1BX5 jtl: Scientific World Journal issn: 1537744X maglogo: N pubinfo: dt: 2014 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 109756968 NLM25254255 2012748158 10.1155/2014/623670 NLM25254255 PMC4164817 109756968 ppf: 623670 ppct: 1 formats: tig: atl: Analysis and simulation of the dynamic spectrum allocation based on parallel immune optimization in cognitive wireless networks. aug: au: Huixin, Wu Duo, Mo He, Li affil: Department of Information Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China. sug: subj: Algorithms Computer Communication Networks Standards Models, Theoretical Wireless Communications Computer Simulation Reproducibility of Results ab: Spectrum allocation is one of the key issues to improve spectrum efficiency and has become the hot topic in the research of cognitive wireless network. This paper discusses the real-time feature and efficiency of dynamic spectrum allocation and presents a new spectrum allocation algorithm based on the master-slave parallel immune optimization model. The algorithm designs a new encoding scheme for the antibody based on the demand for convergence rate and population diversity. For improving the calculating efficiency, the antibody affinity in the population is calculated in multiple computing nodes at the same time. Simulation results show that the algorithm reduces the total spectrum allocation time and can achieve higher network profits. Compared with traditional serial algorithms, the algorithm proposed in this paper has better speedup ratio and parallel efficiency. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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