QoS support in heterogeneous wireless sensor networks using distributed Reinforcement Learning techniques.

01 January 2009 → 31 December 2014
Research Foundation - Flanders (FWO)
Research disciplines
  • Natural sciences
    • Applied mathematics in specific fields
    • Computer architecture and networks
    • Distributed computing
    • Information sciences
    • Information systems
    • Programming languages
    • Scientific computing
    • Theoretical computer science
    • Visual computing
    • Other information and computing sciences
  • Engineering and technology
    • Communications
    • Communications technology
learning techniques quality of service sensor networks
Project description

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.