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Collaborative RL_DTN_paper_IEEE_WiMob.pdf
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444.5Kb
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Accepted Manuscript
Type
Conference PaperKAUST Department
Computer Science ProgramComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Networks Laboratory (NetLab)
Date
2010-10Permanent link to this record
http://hdl.handle.net/10754/350278
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This paper introduces a novel routing protocol in Delay Tolerant Networks (DTNs), aiming to solve the online distributed routing problem. By manipulating a collaborative reinforcement learning technique, a group of nodes can cooperate with each other and make a forwarding decision for the stored messages based on a cost function at each contact with another node. The proposed protocol is characterized by not only considering the contact time statistics under a novel contact model, but also looks into the feedback on user behavior and network conditions, such as congestion and buffer occupancy sampled during each previous contact with any other node. Therefore, the proposed protocol can achieve high efficiency via an adaptive and intelligent routing mechanism according to network conditions. Extensive simulation is conducted to verify the proposed protocol, where a comparison is made with a number of existing encounter-based routing protocols in term of the number of transmissions of each message, message delivery delay, and delivery ratio. The results of the simulation demonstrate the effectiveness of the proposed technique.Citation
Elwhishi, Ahmed, Pin-Han Ho, K. Naik, and Basem Shihada. "ARBR: Adaptive reinforcement-based routing for DTN." In Wireless and Mobile Computing, Networking and Communications (WiMob), 2010 IEEE 6th International Conference on, pp. 376-385. IEEE, 2010.Conference/Event name
6th Annual IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob'2010ae974a485f413a2113503eed53cd6c53
10.1109/WIMOB.2010.5645040