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Project
QoS support in heterogeneous wireless sensor networks using distributed Reinforcement Learning techniques.
The main research objective of this project is to develop an adaptive QoS network architecture for heterogenous wireless sensor networks, incorporating a genuine multi-agent systems reinforced learning (MAS-RL) algorithm for taking distributed, intelligent decisions on the optimal operation mode of each sensor node, hereby taking into account multiple interests and constraints.
Date:1 Jan 2009 → 31 Dec 2014
Keywords:learning techniques, quality of service, sensor networks
Disciplines:Applied mathematics in specific fields, Computer architecture and networks, Distributed computing, Programming languages, Visual computing, Theoretical computer science, Scientific computing, Communications technology, Information sciences, Other information and computing sciences, Communications, Information systems