A Distributed Method for Dynamic Adjusting of the Task-Platform Relation

JIEYONG ZHANG, SONGHUA HUANG, PENG SUN, GUANYU CHEN, RUIJIE WU

Abstract


Dynamic adjusting of the task-platform relation is a hotspot problem in military operational command field during the wartime, and a distributed method for it is present in this paper. Firstly, the constituent part of the distributed military strength organization is represented, and then a distributed coordination framework of the dynamic adjusting of the task-platform relation is designed. This coordination framework has two parts: the intra-module and the external cooperation module. The intra-module combines with an N-best algorithm and a tradeoff strategy to achieve the allocation once again in the inner of decision maker; and the external cooperation module achieves the collaboration between decision makers when task accuracy is less than the desired accuracy. Finally this method for dynamic adjusting of the task-platform relation is proved to be effective through simulation experiment, and the applicability of this method in different situations is also discussed.


DOI
10.12783/dtcse/iceiti2017/18907

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