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Adaptive critics for dynamic optimization

delete2010-06-01
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PRE
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R
Raghavendra V. Kulkarni *
G
Ganesh K. Venayagamoorthy
DOI:10.1016/j.neunet.2010.02.002delete
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Abstract

Abstract

En 中文
A novel action-dependent adaptive critic design (ACD) is developed for dynamic optimization. The Proposed combination of a particle swarm optimization-based actor and a neural network critic is demonstrated through dynamic sleep scheduling of wireless sensor motes for wildlife monitoring. The objective of the sleep scheduler is to dynamically adapt the sleep duration to node's battery capacity and movement pattern of animals in its environment in order to obtain snapshots of the animal on its trajectory uniformly. Simulation results show that the sleep time of the node determined by the actor critic yields superior quality of sensory data acquisition and enhanced node longevity. (C) 2010 Elsevier Ltd. All rights reserved.
Keywords:
Adaptive critic design
Energy efficiency
Sleep scheduling
Wildlife monitoring
Wireless sensor networks
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Neural Networks cover
Neural Networks
IF:
6.3
Papers:
8.2K
Citations:
3.0W

Organization

University of Missouri System cover
University of Missouri System
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Papers: 2.7W
Citations: 75
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