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  • 标题:Algorithms for changing the structure of geospace self-organizing question-answering sensor networks
  • 本地全文:下载
  • 作者:Vladimir Mochalov ; Anastasia Mochalova
  • 期刊名称:E3S Web of Conferences
  • 印刷版ISSN:2267-1242
  • 电子版ISSN:2267-1242
  • 出版年度:2017
  • 卷号:20
  • 页码:1-11
  • DOI:10.1051/e3sconf/20172002009
  • 出版社:EDP Sciences
  • 摘要:Optimization problems of construction, development and changing the structure of geospace self-organizing question-answering sensor networks (GSQASN) are considered. The task specifies the coordinates of various network nodes. It is required with the specified functional, structural, cost and spatial constraints to change the structure of the GSQASN by adding new nodes, moving to new positions or removing some existing nodes. After the formation of the GSQASN structure we solve the task of question-answer agents placement into GSQASN structure in order to be able to answer the given types of questions under the established limitations. The functional scheme of a given category nodes placement into GSQASN structure and approximate bio-inspired algorithms for solving the tasks are proposed. The results of the work can be used in the construction of specific GSQASN and in the GSQASN design support systems.
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