Incentive Mechanism for Data-Centric Message Delivery in Delay Tolerant Networks
Abstract
A key issue in delay tolerant networks (DTN) is to find the right node to store and relay messages. We consider messages annotated with the unique keywords describing the message subject, and nodes also adds keywords to describe their mission interests, priority and their transient social relationship (TSR). To offset resource costs, an incentive mechanism is developed over transient social relationships which enrich enroute message content and motivate better semantically related nodes to carry and forward messages. The incentive mechanism ensures avoidance of congestion due to uncooperative or selfish behavior of nodes.
Recommended Citation
H. Jethawa and S. K. Madria, "Incentive Mechanism for Data-Centric Message Delivery in Delay Tolerant Networks," Proceedings of the 37th IEEE International Conference in Distributed Computing (2017, Atlanta, GA), Institute of Electrical and Electronics Engineers (IEEE), Jun 2017.
The definitive version is available at https://doi.org/10.1109/ICDCS.2017.134
Meeting Name
37th IEEE International Conference in Distributed Computing, ICDCS 2017 (2017: Jun. 5-8, Atlanta, GA)
Department(s)
Computer Science
Research Center/Lab(s)
Intelligent Systems Center
Second Research Center/Lab
Center for High Performance Computing Research
Keywords and Phrases
Delay Tolerant Networks; Incentive Mechanism; Data-centric
International Standard Book Number (ISBN)
978-1-5386-1792-2
International Standard Serial Number (ISSN)
1063-6927
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2017 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
08 Jun 2017
