Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Path selection algorithms in homogeneous mobile ad hoc networks
Proceedings of the 2006 international conference on Wireless communications and mobile computing
An analytical model to estimate path duration in MANETs
Proceedings of the 9th ACM international symposium on Modeling analysis and simulation of wireless and mobile systems
Algorithms and Protocols for Wireless, Mobile Ad Hoc Networks
Algorithms and Protocols for Wireless, Mobile Ad Hoc Networks
Dynamic cross-layer framework to provide QoS for video streaming services over ad hoc networks
Proceedings of the 5th International ICST Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness
Epoch distance of the random waypoint model in mobile ad hoc networks
FORTE'05 Proceedings of the 25th IFIP WG 6.1 international conference on Formal Techniques for Networked and Distributed Systems
Cross-layer design of ad hoc networks for real-time video streaming
IEEE Wireless Communications
A mobility-based framework for adaptive clustering in wireless ad hoc networks
IEEE Journal on Selected Areas in Communications
Load splitting in clusters of video servers
Computer Communications
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The increasing spread of mobile nodes along with the technical advances in multi-hop MANETs (Mobile Ad hoc NETworks) makes this kind of networks an important type of access network of next generation. The demand of multimedia services from these networks is expected to significantly grow in the next years. Multimedia services, though, require the provision of Quality of Service (QoS). Nevertheless, the highly dynamic nature of MANETs, the energy constraints, the lack on centralized infrastructure and the variable link capacity, makes the QoS provision over MANETs a matter that challenges attention. These features make self-configuration and system adaptation questions of major importance when developing a QoS-aware framework. To tackle this issue, we have designed a-MMDSR (adaptive-Multipath Multimedia Dynamic Source Routing), a multipath routing protocol able to self-configure dynamically depending on the state of the network. The approach includes cross-layer techniques especially designed to improve the end-to-end performance of video-streaming services over IEEE 802.11e Ad Hoc networks. Besides, a straightforward analytical model to estimate the path error probability is presented. This model is used by the routing scheme to estimate the lifetime of the paths. In this way, proper proactive decisions can be made before the paths get broken. The model simplicity is appropriate for low capacity wireless devices. Simulation results validate the proposal and show the improvement on standard DSR (Dynamic Source Routing) and on a previous static version.