Special Issue "Information-Centric Networking"

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information and Communications Technology".

Deadline for manuscript submissions: closed (31 August 2018)

Special Issue Editor

Guest Editor
Dr. Alexander Afanasyev

School of Computing and Information Sciences at Florida International University, Miami, FL, USA
Website | E-Mail
Interests: named data networking; information-centric networking; network and systems security; IoT

Special Issue Information

Dear Colleagues,

Over the years, Internet communication has evolved from the end-to-end model of pushing packets to destination hosts towards the model of data retrieval. This shift created an incongruence between application semantics and network functions.  The recently-emerged Information-Centric Networking (ICN) paradigm provides a set of network-level primitives that adjust application and network semantics, enabling more efficient communication, better resilience to network dynamics and mobility, improved latency and data delivery, and providing strong security properties to communication. 

Therefore, the purpose of this Special Issue is to publish high-quality research, expecting both from academic and industrial stakeholders, highlighting recent research, development, and evaluation of ICN, stimulating more discussions in the area, and identifying potential opportunities and research gaps. Original, high quality contributions that have not yet been published, submitted, or are not currently under review by other journals or peer-reviewed conferences are sought.

Topics of interest include, but are not limited to, the following topics:

  • Application programming interfaces (APIs) for ICN and their evaluation
  • Applications of ICN for Internet-of-Things, smart vehicles, smart cities, and other smart environments
  • Architecture design and evaluation
  • Deployments of ICN
  • Economics and business models of ICN
  • Evaluation methodology and metrics
  • ICN application in challenging network environments
  • ICN support for ad hoc, direct peer-to-peer communication
  • Implementation strategies for ICN
  • Management in ICN
  • Mobility solutions and issues in ICN
  • Opportunities for ICN in the developing world
  • QoS-aware ICN networking
  • Routing and forwarding (including congestion control) in ICN
  • Tools, experimentation facilities, and measurement methodology for ICN
  • Transport issues in ICN
  • Trust management, confidentiality, access control, and privacy in ICN
Dr. Alexander Afanasyev
Guest Editor

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 850 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Information-Centric Networking
  • Future Internet Architecture
  • Named Data Networking
  • Content-Centric Networking

Published Papers (1 paper)

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Research

Open AccessArticle PIF and ReCiF: Efficient Interest-Packet Forwarding Mechanisms for Named-Data Wireless Mesh Networks
Information 2018, 9(10), 243; https://doi.org/10.3390/info9100243
Received: 31 August 2018 / Revised: 20 September 2018 / Accepted: 26 September 2018 / Published: 29 September 2018
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Abstract
In this paper, we propose three mechanisms to reduce the broadcast storm problem in wireless mesh networks based on the Named-Data Network (NDN) architecture. The goal of our mechanisms is to reduce the number of content requests forwarded by nodes and consequently, increase
[...] Read more.
In this paper, we propose three mechanisms to reduce the broadcast storm problem in wireless mesh networks based on the Named-Data Network (NDN) architecture. The goal of our mechanisms is to reduce the number of content requests forwarded by nodes and consequently, increase the network efficiency. The first proposed mechanism, called Probabilistic Interest Forwarding (PIF), randomly forwards content requests. The second mechanism, called Retransmission-Counter-based Forwarding (ReCIF), decides to forward content requests based on the number of retransmissions by adding a counter to the header of requests. The third mechanism, called ReCIF+PIF, combines the features of PIF and ReCIF to suppress content requests. We compare the performance of our mechanisms with both the NDN default forwarding mechanism and the Listen First Broadcast Later (LFBL) mechanism. Our proposals outperform the default NDN forwarding mechanism by up to 21% regarding the data delivery rate in dense networks and provide a 25% lower delivery delay than the default NDN. Our mechanisms accomplish this performance by only reducing the number of content requests forwarded by nodes. One of our mechanisms, PIF, outperforms LFBL regarding the data delivery rate and delivery delay by up to 263% and 55%, respectively, for high network contention levels. Full article
(This article belongs to the Special Issue Information-Centric Networking)
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