Decentralised interest counter aggregation for ICN in disaster scenarios

Jan Seedorf, Dirk Kutscher, Bilal Shaukat Gill

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

4 Citations (Scopus)


Recently, it has been suggested to use Information Centric Networking approaches for enabling communication in DTN (Delay Tolerant Networking) type of scenarios. In particular, disaster scenarios are being studied, where ICN data mules disseminate content based on interests received from end-users or during encounters of other ICN data mules. In such a scenario, it is very useful to estimate the overall popularity (among end-users) of a given ICN interest message. This enables data mules to optimize content dissemination with limited caching capabilities by prioritizing interests based on their popularity. We present a scheme that enables to estimate the popularity of ICN interest messages in a completely decentralized manner among data mules in a scenario with random, unpredictable movements of ICN data mules. Our solution achieves scalable, distributed counting/aggregating of interests (in the sense of a popularity count) with loop detection. We also present analytical storage overhead estimations as well as evaluation results based on a simulation of our proposed approach.

Original languageEnglish
Title of host publication2016 IEEE Globecom Workshops, GC Wkshps 2016 - Proceedings
Number of pages6
ISBN (Electronic)9781509024827
Publication statusPublished - 8 Feb 2017
MoE publication typeA4 Article in a conference publication
EventIEEE Globecom Workshops - Washington, United States
Duration: 4 Dec 20168 Dec 2016


ConferenceIEEE Globecom Workshops
Abbreviated titleGC
CountryUnited States

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