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Optimization problems with low SWaP tactical Computing

2019-02-13
Mee Seong Im, Venkat R. Dasari, Lubjana Beshaj, Dale Shires

Abstract

In a resource-constrained, contested environment, computing resources need to be aware of possible size, weight, and power (SWaP) restrictions. SWaP-aware computational efficiency depends upon optimization of computational resources and intelligent time versus efficiency tradeoffs in decision making. In this paper we address the complexity of various optimization strategies related to low SWaP computing. Due to these restrictions, only a small subset of less complicated and fast computable algorithms can be used for tactical, adaptive computing.

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URL

http://arxiv.org/abs/1902.05070

PDF

http://arxiv.org/pdf/1902.05070


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