M. Rovcanin

发表

Coping with network dynamics using reinforcement learning based network optimization in wireless networks

P. Demeester, I. Moerman, M. Rovcanin, 2013 .

Application of the LSPI reinforcement learning technique to co-located network negotiation

M. Rovcanin, 2013 .

T raffic differentiation-a basic step towards providing end-to-end QoS on the train-to-wayside wireless communication system

I. Moerman, C. Blondia, M. Rovcanin, 2022 .

Experimental validation of a reinforcement learning based approach for a service-wise optimisation of heterogeneous wireless sensor networks

Ingrid Moerman, Piet Demeester, Eli De Poorter, 2014, Wireless Networks.

A reinforcement learning based solution for cognitive network cooperation between co-located, heterogeneous wireless sensor networks

Ingrid Moerman, Piet Demeester, Eli De Poorter, 2014, Ad Hoc Networks.

Coping with Network Dynamics Using Reinforcement Learning Based Network Optimization in Wireless Sensor Networks

Ingrid Moerman, Piet Demeester, Eli De Poorter, 2014, Wirel. Pers. Commun..

On Suitability of the Reinforcement Learning Methodology in Dynamic, Heterogeneous, Self-optimizing Networks

Ingrid Moerman, Piet Demeester, Eli De Poorter, 2013, NEW2AN.

A negotiation-based networking methodology to enable cooperation across heterogeneous co-located networks

Ingrid Moerman, Piet Demeester, Eli De Poorter, 2012, Ad Hoc Networks.

A reinforcement learning based , service wise optimization of cognitive , heterogeneous wireless sensor networks

M. Rovcanin, 2013 .

Design and Prototype of a Train-to-Wayside Communication Architecture

Johan Bergs, Dries Naudts, Ingrid Moerman, 2012, Nets4Cars/Nets4Trains.

Routing for emergency and messaging applications in vehicular ad-hoc networks

Erwin Van de Velde, V. Conan, Jérémie Leguay, 2013 .

Coping with Network Dynamics Using Reinforcement Learning Based Network Optimization in Wireless Sensor Networks

P. Demeester, I. Moerman, E. De Poorter, 2014, Wireless Personal Communications.