Group search optimizer for the mobile location management problem.
We propose a diversity-guided group search optimizer-based approach for solving the location management problem in mobile computing. The location management problem, which is to find the optimal network configurations of management under the mobile computing environment, is considered here as an opt...
| Publicado en: | Scientific World Journal pp. 430705 - 430706 |
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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=103843035&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 103843035 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: 103843035 103843035 NLM25180199 2012705008 10.1155/2014/430705 NLM25180199 PMC4144160 103843035 ppf: 430705 ppct: 1 formats: tig: atl: Group search optimizer for the mobile location management problem. aug: au: Wang, Dan Xiong, Congcong Huang, Wei affil: School of Computer Science and Information Engineering, Tianjin University of Science & Technology, Tianjin 300222, China. sug: subj: Algorithms Telemetry Methods Telecommunications Computer Communication Networks ab: We propose a diversity-guided group search optimizer-based approach for solving the location management problem in mobile computing. The location management problem, which is to find the optimal network configurations of management under the mobile computing environment, is considered here as an optimization problem. The proposed diversity-guided group search optimizer algorithm is realized with the aid of diversity operator, which helps alleviate the premature convergence problem of group search optimizer algorithm, a successful optimization algorithm inspired by the animal behavior. To address the location management problem, diversity-guided group search optimizer algorithm is exploited to optimize network configurations of management by minimizing the sum of location update cost and location paging cost. Experimental results illustrate the effectiveness of the proposed approach. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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