Masters Theses
Abstract
"In a Data-centric Delay Tolerant Networks (DTNs), it is essential for nodes to cooperate in message forwarding in order to enable successful delivery of a message in an opportunistic fashion with nodes having their social interests defined. In the data-centric dissemination protocol proposed here, a source annotates messages (images) with keywords, and then intermediate nodes are presented with an option of adding keyword-based annotations in order to create higher content strength messages on path toward the destination. Hence, contents like images get enriched as there is situation evolution or learned by these intermediate nodes, such as in a battlefield, or in a disaster situation. Nodes might turn selfish and not participate in relaying messages due to relative scarcity of battery and storage capacity in mobile devices. Therefore, in addition to content enrichment, an incentive mechanism is proposed in this thesis which considers factors like message quality, battery usage, level of interests, etc. for the calculation of incentives. Moreover, with the goal of preventing the nodes from turning malicious by adding inappropriate message tags in the quest of acquiring more incentive, a distributed reputation model (DRM) is developed and consolidated with the proposed incentive scheme. DRM takes into account inputs from multiple users like ratings for the relevance of annotations in the message, message quality, etc. The proposed scheme safeguards the network from congestion due to uncooperative or selfish nodes in the system. The performance evaluation shows that our approach delivers more high priority and high quality messages while reducing traffic at a slightly lower message delivery ratio compared to ChitChat"--Abstract, page iv.
Advisor(s)
Madria, Sanjay Kumar
Committee Member(s)
Yin, Zhaozheng
Xiong, Haoyi
Department(s)
Computer Science
Degree Name
M.S. in Computer Science
Sponsor(s)
Air Force Research Laboratory (Rome, New York)
Publisher
Missouri University of Science and Technology
Publication Date
Spring 2018
Journal article titles appearing in thesis/dissertation
- Reputation and credit based incentive mechanism for data-centric message delivery in delay tolerant networks
- Incentive mechanism for data-centric message delivery in delay tolerant networks
Pagination
ix, 58 pages
Note about bibliography
Includes bibliographical references.
Rights
© 2018 Himanshu Avinash Jethawa, All rights reserved.
Document Type
Thesis - Open Access
File Type
text
Language
English
Thesis Number
T 11488
Electronic OCLC #
1104295022
Recommended Citation
Jethawa, Himanshu, "Reputation and credit based incentive mechanism for data-centric message delivery in delay tolerant networks" (2018). Masters Theses. 7870.
https://scholarsmine.mst.edu/masters_theses/7870
Comments
This project is partially funded by the Air Force Research Laboratory (AFRL) in Rome, New York.