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Massachusetts Institute of Technology

Scalable mobility support in future internet architectures

Abstract

dc:description.abstract

In this thesis, we present MobileNDN, a scalable design for producer mobility support in the Named Data Network (NDN) architecture. While the initial design of NDN provided support for consumer mobility automatically via its stateful forwarding plane, a solution for producer mobility was left unspecified. The mobility support scheme we propose decouples the tasks of 1) detecting whether data may exist on a mobile producer, and of 2) forwarding interest packets towards the mobile producer. First, we use NDNS to detect zones that may be served by mobile producers. Second, based on insights from MobilityFirst, we introduce a scalable global mapping service to locate mobile producers. The combination of these two components yields a mobility solution that allows NDN's forwarding to operate and scale in the face of mobile consumers and producers.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2018

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Mwangi, Xavier K
Advisor dc:contributor.advisor
  • Karen R. Sollins.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/117328
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/117328

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Mwangi, Xavier K. Scalable mobility support in future internet architectures. Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/117328