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Congestion Avoidance in a Data-Centric Opportunistic Network
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems. (Communication Research)
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems. (Communication Research)
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems. (Communication Research)
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems. (Communication Research)
2011 (English)In: Proceedings of the 2011 ACM SIGCOMM Workshop on Information-Centric Networking (ICN-2011), 2011Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
2011.
Identifiers
URN: urn:nbn:se:uu:diva-155528OAI: oai:DiVA.org:uu-155528DiVA: diva2:426537
Projects
ResumeNet
Available from: 2011-06-23 Created: 2011-06-23 Last updated: 2014-06-30
In thesis
1. Opportunistic Networking: Congestion, Transfer Ordering and Resilience
Open this publication in new window or tab >>Opportunistic Networking: Congestion, Transfer Ordering and Resilience
2014 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Opportunistic networks are constructed by devices carried by people and vehicles. The devices use short range radio to communicate. Since the network is mobile and often sparse in terms of node contacts, nodes store messages in their buffers, carrying them, and forwarding them upon node encounters. This form of communication leads to a set of challenging issues that we investigate: congestion, transfer ordering, and resilience.

Congestion occurs in opportunistic networks when a node's buffers becomes full. To be able to receive new messages, old messages have to be evicted. We show that buffer eviction strategies based on replication statistics perform better than strategies that evict messages based on the content of the message.

We show that transfer ordering has a significant impact on the dissemination of messages during time limited contacts. We find that transfer strategies satisfying global requests yield a higher delivery ratio but a longer delay for the most requested data compared to satisfying the neighboring node's requests.

Finally, we assess the resilience of opportunistic networks by simulating different types of attacks. Instead of enumerating all possible attack combinations, which would lead to exhaustive evaluations, we introduce a method that use heuristics to approximate the extreme outcomes an attack can have. The method yields a lower and upper bound for the evaluated metric over the different realizations of the attack. We show that some types of attacks are harder to predict the outcome of and other attacks may vary in the impact of the attack due to the properties of the attack, the forwarding protocol, and the mobility pattern.

Place, publisher, year, edition, pages
Uppsala: Acta Universitatis Upsaliensis, 2014. 45 p.
Series
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology, ISSN 1651-6214 ; 1148
Keyword
Opportunistic Networking, Congestion, Transfer Ordering, Resilience, Testbed, WISENET
National Category
Computer Science Communication Systems
Research subject
Computer Science with specialization in Computer Communication
Identifiers
urn:nbn:se:uu:diva-223492 (URN)978-91-554-8953-3 (ISBN)
Public defence
2014-06-09, Room 2446, Polacksbacken, Lägerhyddsvägen 2, Uppsala, 13:15 (English)
Opponent
Supervisors
Projects
WISENET
Available from: 2014-05-15 Created: 2014-04-22 Last updated: 2014-07-21Bibliographically approved

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Bjurefors, FredrikGunningberg, PerRohner, ChristianTavakoli, Sam

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