Analyzing the Short-Term Fairness of IEEE 802.11 in Wireless Multi-Hop Radio Networks
MASCOTS '02 Proceedings of the 10th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems
BROADNETS '04 Proceedings of the First International Conference on Broadband Networks
Learning-Enforced Time Domain Routing to Mobile Sinks in Wireless Sensor Fields
LCN '04 Proceedings of the 29th Annual IEEE International Conference on Local Computer Networks
WONS '05 Proceedings of the Second Annual Conference on Wireless On-demand Network Systems and Services
Mobilized Ad-Hoc Networks: A Reinforcement Learning Approach
ICAC '04 Proceedings of the First International Conference on Autonomic Computing
LQ-Routing Protocol for Mobile Ad-Hoc Networks
Proceedings of the Fourth Annual ACIS International Conference on Computer and Information Science
Heuristic and Distributed QoS Route Discovery for Mobile Ad hoc Networks
CIT '05 Proceedings of the The Fifth International Conference on Computer and Information Technology
Constrained Flooding: A Robust and Efficient Routing Framework for Wireless Sensor Networks
AINA '06 Proceedings of the 20th International Conference on Advanced Information Networking and Applications - Volume 01
Collaborative Multiagent Reinforcement Learning by Payoff Propagation
The Journal of Machine Learning Research
SARA: Stochastic Automata Rate Adaptation for IEEE 802.11 Networks
IEEE Transactions on Parallel and Distributed Systems
A Mobile-Directory Approach to Service Discovery in Wireless Ad Hoc Networks
IEEE Transactions on Mobile Computing
Can Routing Oscillations be Good? The Benefits of Route-switching in Self-aware Networks
MASCOTS '07 Proceedings of the 2007 15th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems
Towards autonomous data ferry route design through reinforcement learning
WOWMOM '08 Proceedings of the 2008 International Symposium on a World of Wireless, Mobile and Multimedia Networks
CLIQUE: Role-Free Clustering with Q-Learning for Wireless Sensor Networks
ICDCS '09 Proceedings of the 2009 29th IEEE International Conference on Distributed Computing Systems
RL-Based Queue Management for QoS Support in Multi-channel Multi-radio Mesh Networks
NCA '09 Proceedings of the 2009 Eighth IEEE International Symposium on Network Computing and Applications
IEEE Journal on Selected Areas in Communications - Special issue on wireless and pervasive communications for healthcare
Direct Reinforcement Learning for Autonomous Power Configuration and Control in Wireless Networks
AHS '09 Proceedings of the 2009 NASA/ESA Conference on Adaptive Hardware and Systems
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
IEEE Transactions on Mobile Computing
Cooperative communications with relay selection for QoS provisioning in wireless sensor networks
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
IEEE Journal on Selected Areas in Communications
CCNC'10 Proceedings of the 7th IEEE conference on Consumer communications and networking conference
A Stable Online Algorithm for Energy-Efficient Multiuser Scheduling
IEEE Transactions on Mobile Computing
An adaptive link layer for heterogeneous multi-radio mobile sensor networks
IEEE Journal on Selected Areas in Communications - Special issue on simple wireless sensor networking solutions
From cognition to docition: The teaching radio paradigm for distributed & autonomous deployments
Computer Communications
Dynamic routing optimization based on real time Adaptive Delay Estimation for wireless networks
ISCC '10 Proceedings of the The IEEE symposium on Computers and Communications
LCN '10 Proceedings of the 2010 IEEE 35th Conference on Local Computer Networks
Optimal admission control in multimedia mobile networks with handover prediction
IEEE Wireless Communications
A learning approach for prioritized handoff channel allocation in mobile multimedia networks
IEEE Transactions on Wireless Communications
A fuzzy reinforcement learning approach to power control in wireless transmitters
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Using feedback in collaborative reinforcement learning to adaptively optimize MANET routing
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Performance analysis of the IEEE 802.11 distributed coordination function
IEEE Journal on Selected Areas in Communications
Near-optimal reinforcement learning framework for energy-aware sensor communications
IEEE Journal on Selected Areas in Communications
Non-Cooperative Power Control for Wireless Ad Hoc Networks with Repeated Games
IEEE Journal on Selected Areas in Communications
Review: Cognitive radio network security: A survey
Journal of Network and Computer Applications
Routing in Distributed Cognitive Radio Networks: A Survey
Wireless Personal Communications: An International Journal
Reinforcement learning in hierarchical cognitive radio wireless networks
Proceedings of the 2nd ACM workshop on High performance mobile opportunistic systems
Wireless Personal Communications: An International Journal
Mobile Information Systems
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In wireless networks, context awareness and intelligence are capabilities that enable each host to observe, learn, and respond to its complex and dynamic operating environment in an efficient manner. These capabilities contrast with traditional approaches where each host adheres to a predefined set of rules, and responds accordingly. In recent years, context awareness and intelligence have gained tremendous popularity due to the substantial network-wide performance enhancement they have to offer. In this article, we advocate the use of reinforcement learning (RL) to achieve context awareness and intelligence. The RL approach has been applied in a variety of schemes such as routing, resource management and dynamic channel selection in wireless networks. Examples of wireless networks are mobile ad hoc networks, wireless sensor networks, cellular networks and cognitive radio networks. This article presents an overview of classical RL and three extensions, including events, rules and agent interaction and coordination, to wireless networks. We discuss how several wireless network schemes have been approached using RL to provide network performance enhancement, and also open issues associated with this approach. Throughout the paper, discussions are presented in a tutorial manner, and are related to existing work in order to establish a foundation for further research in this field, specifically, for the improvement of the RL approach in the context of wireless networking, for the improvement of the RL approach through the use of the extensions in existing schemes, as well as for the design and implementation of RL in new schemes.