Volume 32 Issue 2
Mar.  2012
Turn off MathJax
Article Contents
GAO Li, LI Zhimeng. CSP Model and Algorithm on Task Allocation for Earth Observation DSS[J]. Journal of Space Science, 2012, 32(2): 251-256. doi: 10.11728/cjss2012.02.251
Citation: GAO Li, LI Zhimeng. CSP Model and Algorithm on Task Allocation for Earth Observation DSS[J]. Journal of Space Science, 2012, 32(2): 251-256. doi: 10.11728/cjss2012.02.251

CSP Model and Algorithm on Task Allocation for Earth Observation DSS

doi: 10.11728/cjss2012.02.251
  • Received Date: 2010-12-27
  • Rev Recd Date: 2011-10-07
  • Publish Date: 2012-03-15
  • With the vigorous development of small satellite technology, there is an increasing desire to use multiple, highly autonomous, earth bservation small satellites working together to complete more complicated earth observation missions through autonomous collaboration. Distributed Satellites System (DSS) composed by several small satellites is envisioned in the near future because of its capability of higher performance, lower cost, better fault tolerance, reconfigurability and upgradability. Considering the characteristics of autonomous operation cooperatively for DSS in future, the task allocation becomes a very important process in the operation. In the paper, with the principle of lowest general energy-consumption for completing observation task, a model for Constraint Satisfaction Problem (CSP) on task allocation was put forward by analyzing the features of observation task for DSS. Based on it, citing contract net protocol in MAS theory, an algorithm was presented to solve the model and an example of the earth observation satellites was given to validate the model and algorithm at last.

     

  • loading
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article Views(1966) PDF Downloads(1073) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return