ICN as Network Infrastructure for Multi-Sensory Devices: Local Domain Service Discovery for ICN-based IoT Environments

被引:0
|
作者
José Quevedo
Carlos Guimarães
Rui Ferreira
Daniel Corujo
Rui L. Aguiar
机构
[1] Instituto de Telecomunicações and Universidade de Aveiro,
来源
Wireless Personal Communications | 2017年 / 95卷
关键词
Information Centric Networking; Internet of Things; Machine to Machine; Service discovery;
D O I
暂无
中图分类号
学科分类号
摘要
Information Centric Networking (ICN) is an emerging research topic aiming at shifting the Internet from its current host-centric paradigm towards an approach centred around content, which enables the direct retrieval of information objects in a secure, reliable, scalable, and efficient way. The exposure of ICN to scenarios other than static content distribution is a growing research topic, promising to extend the impact of ICN to a broader scale. In this context, particular attention has been given to the application of ICN in Internet of Things (IoT) environments. The current paper, by focusing on local domain IoT scenarios, such as multi-sensory Machine to Machine environments, discusses the challenges that ICN, particularly Interest-based solutions, impose to service discovery. This work proposes a service discovery mechanism for such scenarios, relying on an alternative forwarding pipeline for supporting its core operations. The proposed mechanism is validated through a proof-of-concept prototype, developed on top of the Named Data Networking ICN architecture, with results showcasing the benefits of our solution for discovering services within a collision domain.
引用
收藏
页码:7 / 26
页数:19
相关论文
共 12 条
  • [1] ICN as Network Infrastructure for Multi-Sensory Devices: Local Domain Service Discovery for ICN-based IoT Environments
    Quevedo, Jose
    Guimaraes, Carlos
    Ferreira, Rui
    Corujo, Daniel
    Aguiar, Rui L.
    WIRELESS PERSONAL COMMUNICATIONS, 2017, 95 (01) : 7 - 26
  • [2] How to cache in ICN-based IoT environments?
    Meddeb, Maroua
    Dhraief, Amine
    Belghith, Abdelfettah
    Monteil, Thierry
    Drira, Khalil
    2017 IEEE/ACS 14TH INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS AND APPLICATIONS (AICCSA), 2017, : 1117 - 1124
  • [3] In-Network Caching for ICN-Based IoT (ICN-IoT): A Comprehensive Survey
    Zhang, Zhe
    Lung, Chung-Horng
    Wei, Xin
    Chen, Mingkai
    Chatterjee, Subhajit
    Zhang, Zhicai
    IEEE INTERNET OF THINGS JOURNAL, 2023, 10 (16) : 14595 - 14620
  • [4] ICN-based Service Discovery Mechanism for Microservice Architecture
    Long, Kim Bao
    Yang, HyunSik
    Kim, YoungHan
    2017 NINTH INTERNATIONAL CONFERENCE ON UBIQUITOUS AND FUTURE NETWORKS (ICUFN 2017), 2017, : 773 - 775
  • [5] iCache: An Intelligent Caching Scheme for Dynamic Network Environments in ICN-Based IoT Networks
    Zhang, Zhe
    Wei, Xin
    Lung, Chung-Horng
    Zhao, Yu
    IEEE INTERNET OF THINGS JOURNAL, 2023, 10 (02) : 1787 - 1799
  • [6] Demo: Multiple Network Function Execution in ICN-based Crowdsensing Service
    Yamamoto, Yoji
    Koizumi, Yuki
    Hasegawa, Toru
    Rossi, Giulio
    Detti, Andrea
    Ascigil, Onur
    Psaras, Ioannis
    PROCEEDINGS OF THE 2019 CONFERENCE ON INFORMATION-CENTRIC NETWORKING (ICN '19), 2019, : 169 - 170
  • [7] A Distributed ICN-based IoT Network Architecture: An Ambient Assisted Living Application Case Study
    Nour, Boubakr
    Sharif, Kashif
    Li, Fan
    Moungla, Hassine
    GLOBECOM 2017 - 2017 IEEE GLOBAL COMMUNICATIONS CONFERENCE, 2017,
  • [8] An ICN-Based Delay-Sensitive Service Scheduling Architecture with Stateful Programmable Data Plane for Computing Network
    Wei, Ranran
    Han, Rui
    APPLIED SCIENCES-BASEL, 2024, 14 (22):
  • [9] 3D mapping of buried underworld infrastructure using dynamic Bayesian network based multi-sensory image data fusion
    Dutta, Ritaban
    Cohn, Anthony G.
    Muggleton, Jen M.
    JOURNAL OF APPLIED GEOPHYSICS, 2013, 92 : 8 - 19
  • [10] Multi-domain network infrastructure based on P4 programmable devices for Digital Data Marketplaces
    Shakeri, Sara
    Veen, Lourens
    Grosso, Paola
    CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2022, 25 (04): : 2953 - 2966