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SASO
2008
IEEE

Self-Adaptive Dissemination of Data in Dynamic Sensor Networks

13 years 10 months ago
Self-Adaptive Dissemination of Data in Dynamic Sensor Networks
The distribution of data in large dynamic wireless sensor networks presents a difficult problem due to node mobility, link failures, and traffic congestion. In this paper, we propose a framework for adaptive flooding protocols suitable for disseminating data in large-scale dynamic networks without a central controlling entity. The framework consists of cooperating mobile agents and a reinforcement learning component with function approximation and state generalization. A component for agent coordination is provided, as well as rules for agent replication, mutation, and annihilation. We examine the adaptability of this framework to a data dissemination problem in a simulation experiment. 1
David Dorsey, Bjorn Jay Carandang, Moshe Kam, Chri
Added 01 Jun 2010
Updated 01 Jun 2010
Type Conference
Year 2008
Where SASO
Authors David Dorsey, Bjorn Jay Carandang, Moshe Kam, Chris Gaughan
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