research-article

MobCCN: a CCN-compliant protocol for data collection with opportunistic contacts in IoT environments

Authors:

Eleonora Borgia,

Raffaele Bruno,

Andrea PassarellaAuthors Info & Claims

CHANTS '16: Proceedings of the Eleventh ACM Workshop on Challenged Networks

Pages 63 - 68

https://doi.org/10.1145/2979683.2979695

Published: 03 October 2016 Publication History

Abstract

In IoT environments, a significant fraction of services can be expected to be relevant and contextualised to the physical area where data is generated. This is due to the typical strong bond between IoT devices and the physical environment where they are located. Moreover, communication patterns may be largely content-centric rather than device-centric, as interest would be in getting the data, irrespective of where they are generated or stored. In this paper we propose MobCCN, a content-centric network protocol to support data delivery in presence of tiny IoT devices (such as sensors) and users' personal mobile devices (such as smartphones). MobCCN joins together opportunistic networking techniques (to support contextualised, proximity-based communications) and Information Centric Networking (ICN) to support content-centric communication patterns. MobCCN defines a new CCN-like routing and forwarding algorithm, which dynamically builds a gradient-based content-dissemination graph using estimates of the contact rates between nodes, and between nodes and the data that is produced and stored in the network. While preserving compatibility with the standard CCN mechanisms, the MobCCN algorithm makes CCN routing and forwarding suitable for opportunistic networking environments. We have implemented MobCCN in CCN-lite, a de-facto standard lightweight implementation of CCN, which is suitable for resource-constrained devices. Simulation results confirm the feasibility of the proposed approach both in terms of scalability and efficiency.

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Cited By

Yuan BWan JWu YZou DJin H(2023)On the Security of Smart Home Systems: A SurveyJournal of Computer Science and Technology10.1007/s11390-023-2488-338:2(228-247)Online publication date: 30-Mar-2023
https://dl.acm.org/doi/10.1007/s11390-023-2488-3
Bouk SAhmed SEun YPark K(2021)Multimodal Named Data Discovery With Interest Broadcast Suppression for Vehicular CPSIEEE Transactions on Mobile Computing10.1109/TMC.2020.297147920:5(1877-1891)Online publication date: 1-May-2021
https://doi.org/10.1109/TMC.2020.2971479
Kumar ADutta AJain NDhurandher S(2021)MrFbP: Markov random field‐driven spatial entropy‐based routing protocol in opportunistic networksInternational Journal of Communication Systems10.1002/dac.501835:1Online publication date: 26-Oct-2021
https://doi.org/10.1002/dac.5018
Show More Cited By

Index Terms

MobCCN: a CCN-compliant protocol for data collection with opportunistic contacts in IoT environments
1. Human-centered computing
  1. Ubiquitous and mobile computing
    1. Ubiquitous and mobile computing systems and tools
2. Networks
  1. Network protocols
    1. Network protocol design
  2. Network types
    1. Mobile networks

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cover image ACM Other conferences

CHANTS '16: Proceedings of the Eleventh ACM Workshop on Challenged Networks

October 2016

92 pages

ISBN:9781450342568

DOI:10.1145/2979683

Program Chairs:
Chiara Boldrini
IIT-CNR, Italy
,
Marcelo Dias de Amorim
UPMC/ LIP6, France

Copyright © 2016 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 October 2016

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EC

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MobiCom'16

MobiCom'16: The 22nd Annual International Conference on Mobile Computing and Networking

October 3 - 7, 2016

New York, New York City

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CHANTS '16 Paper Acceptance Rate 14 of 27 submissions, 52%;

Overall Acceptance Rate 61 of 159 submissions, 38%

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Cited By

Yuan BWan JWu YZou DJin H(2023)On the Security of Smart Home Systems: A SurveyJournal of Computer Science and Technology10.1007/s11390-023-2488-338:2(228-247)Online publication date: 30-Mar-2023
https://dl.acm.org/doi/10.1007/s11390-023-2488-3
Bouk SAhmed SEun YPark K(2021)Multimodal Named Data Discovery With Interest Broadcast Suppression for Vehicular CPSIEEE Transactions on Mobile Computing10.1109/TMC.2020.297147920:5(1877-1891)Online publication date: 1-May-2021
https://doi.org/10.1109/TMC.2020.2971479
Kumar ADutta AJain NDhurandher S(2021)MrFbP: Markov random field‐driven spatial entropy‐based routing protocol in opportunistic networksInternational Journal of Communication Systems10.1002/dac.501835:1Online publication date: 26-Oct-2021
https://doi.org/10.1002/dac.5018
Costantino GMaiti RMartinelli FSanti P(2020)LoSeRO: A Locality Sensitive Routing Protocol in Opportunistic Networks with Contact ProfilesIEEE Transactions on Mobile Computing10.1109/TMC.2019.292322419:10(2392-2408)Online publication date: 1-Oct-2020
https://doi.org/10.1109/TMC.2019.2923224

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