Abstract
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. © 2010 Elsevier Ltd.
Recommended Citation
R. V. Kulkarni and G. K. Venayagamoorthy, "Adaptive Critics for Dynamic Optimization," Neural Networks, vol. 23, no. 5, pp. 587 - 591, Elsevier, Jun 2010.
The definitive version is available at https://doi.org/10.1016/j.neunet.2010.02.002
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Adaptive critic design; Energy efficiency; Sleep scheduling; Wildlife monitoring; Wireless sensor networks
International Standard Serial Number (ISSN)
0893-6080
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Elsevier, All rights reserved.
Publication Date
01 Jun 2010
PubMed ID
20223635
Comments
National Science Foundation, Grant 0348221