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Imaging tasks scheduling for high-altitude airship in emergency condition based on energy-aware strategy.

Aiming to the imaging tasks scheduling problem on high-altitude airship in emergency condition, the programming models are constructed by analyzing the main constraints, which take the maximum task benefit and the minimum energy consumption as two optimization objectives. Firstly, the hierarchy arch...

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Published in:Scientific World Journal pp. 242836 - 242837
Main Authors: Zhimeng, Li, Chuan, He, Dishan, Qiu, Jin, Liu, Manhao, Ma
Format: Journal Article
Published: Wiley-Blackwell 2013
Online Access:View this record in EBSCOhost
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      jtl: Scientific World Journal
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      dt: 2013
      pid: 480
      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        104165390
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        2012242248
        10.1155/2013/242836
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        atl: Imaging tasks scheduling for high-altitude airship in emergency condition based on energy-aware strategy.
      aug:
        au:
          Zhimeng, Li
          Chuan, He
          Dishan, Qiu
          Jin, Liu
          Manhao, Ma
        affil: Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha 410073, China.
      sug:
        subj:
          Aircraft Equipment and Supplies
          Power Sources
          Emergencies
          Environmental Monitoring Equipment and Supplies
          Environmental Monitoring Methods
          Photography Equipment and Supplies
          Photography Methods
          Algorithms
          Decision Support Techniques
          Energy Transfer
      ab: Aiming to the imaging tasks scheduling problem on high-altitude airship in emergency condition, the programming models are constructed by analyzing the main constraints, which take the maximum task benefit and the minimum energy consumption as two optimization objectives. Firstly, the hierarchy architecture is adopted to convert this scheduling problem into three subproblems, that is, the task ranking, value task detecting, and energy conservation optimization. Then, the algorithms are designed for the sub-problems, and the solving results are corresponding to feasible solution, efficient solution, and optimization solution of original problem, respectively. This paper makes detailed introduction to the energy-aware optimization strategy, which can rationally adjust airship's cruising speed based on the distribution of task's deadline, so as to decrease the total energy consumption caused by cruising activities. Finally, the application results and comparison analysis show that the proposed strategy and algorithm are effective and feasible.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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