Multiagent learning using a variable learning rate
Artificial Intelligence
A delay-tolerant network architecture for challenged internets
Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications
Probabilistic routing in intermittently connected networks
ACM SIGMOBILE Mobile Computing and Communications Review
Spray and wait: an efficient routing scheme for intermittently connected mobile networks
Proceedings of the 2005 ACM SIGCOMM workshop on Delay-tolerant networking
Social network analysis for routing in disconnected delay-tolerant MANETs
Proceedings of the 8th ACM international symposium on Mobile ad hoc networking and computing
Efficient routing in intermittently connected mobile networks: the single-copy case
IEEE/ACM Transactions on Networking (TON)
Realistic mobility simulation of urban mesh networks
Ad Hoc Networks
Predict and relay: an efficient routing in disruption-tolerant networks
Proceedings of the tenth ACM international symposium on Mobile ad hoc networking and computing
Foundations and Trends® in Networking
GeoDTN+Nav: Geographic DTN Routing with Navigator Prediction for Urban Vehicular Environments
Mobile Networks and Applications
Replication routing in DTNs: a resource allocation approach
IEEE/ACM Transactions on Networking (TON)
Evolution of reward functions for reinforcement learning
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
BUBBLE Rap: Social-Based Forwarding in Delay-Tolerant Networks
IEEE Transactions on Mobile Computing
A Comprehensive Survey of Multiagent Reinforcement Learning
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Using feedback in collaborative reinforcement learning to adaptively optimize MANET routing
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
The IEEE 802.11g standard for high data rate WLANs
IEEE Network: The Magazine of Global Internetworking
DCS: Distributed Asynchronous Clock Synchronization in Delay Tolerant Networks
IEEE Transactions on Parallel and Distributed Systems
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Delay Tolerant Reinforcement-Based (DTRB) is a delay tolerant routing solution for IEEE 802.11 wireless networks which enables device to device data exchange without the support of any pre-existing network infrastructure. The solution utilizes Multi-Agent Reinforcement Learning techniques to learn about routes in the network and forward/replicate the messages that produce the best reward. The rewarding process is executed by a learning algorithm based on the distances between the nodes, which are calculated as a function of time from the last meetings. DTRB is a flooding-based delay tolerant routing solution. The simulation results show that DTRB can deliver more messages than a traditional delay tolerant routing solution does in densely populated areas, with similar end-to-end delay and lower network overhead.