Adaptive critics for dynamic optimization

✍ Scribed by Raghavendra V. Kulkarni; Ganesh Kumar Venayagamoorthy

• Book ID: 103853929
• Publisher: Elsevier Science
• Year: 2010
• Tongue: English
• Weight: 616 KB
• Volume: 23
• Category: Article
• ISSN: 0893-6080
• DOI: 10.1016/j.neunet.2010.02.002

✦ Synopsis

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.