Leading Smart Environments towards the Future Internet through Name Data Networking: A survey

IF 6.2 2区计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS Future Generation Computer Systems-The International Journal of Escience Pub Date : 2025-02-10 DOI:10.1016/j.future.2025.107754

Rafiq Ul Islam, Claudio Savaglio, Giancarlo Fortino

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Abstract

The increasing diffusion of Smart Environments enabled by the Internet of Things (IoT) technologies has evidenced the limitations of traditional Internet Protocol (IP), thus pushing for a paradigm shift from host-centric to Information-Centric Networking (ICN). The Named Data Networking (NDN) is a particular ICN implementation that prospects more efficient and effective communication and service provision, reason why it is widely considered as an enabler towards Future Internet. Driven by the PRISMA methodology, in this work we systematically survey the current literature and analyze opportunities and limitations of NDN adoption within Smart Environments, targeted application areas, adopted technologies and research gaps. In particular, by means of a research framework, we highlight how, by shifting from the traditional IP-based to NDN, Smart Environments can benefit from unseen degrees of mobility, scalability, security and performance, paving the way to innovative and cutting-edge cyberphysical services.

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通过名称数据网络引领智能环境走向未来互联网：一项调查

由物联网（IoT）技术实现的智能环境的日益普及证明了传统互联网协议（IP）的局限性，从而推动了从以主机为中心到以信息为中心的网络（ICN）的范式转变。命名数据网络（NDN）是一种特殊的ICN实现，它有望实现更高效和有效的通信和服务提供，这就是为什么它被广泛认为是未来互联网的推动者。在PRISMA方法论的推动下，在这项工作中，我们系统地调查了当前的文献，并分析了智能环境中采用NDN的机会和局限性，目标应用领域，采用的技术和研究差距。通过研究框架，我们特别强调，通过从传统的基于ip的网络向NDN网络的转变，智能环境如何从前所未有的移动性、可扩展性、安全性和性能中获益，从而为创新和尖端的网络物理服务铺平道路。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Future Generation Computer Systems-The International Journal of Escience 工程技术-计算机：理论方法

CiteScore

19.90

自引率

2.70%

发文量

376

审稿时长

10.6 months

期刊介绍： Computing infrastructures and systems are constantly evolving, resulting in increasingly complex and collaborative scientific applications. To cope with these advancements, there is a growing need for collaborative tools that can effectively map, control, and execute these applications. Furthermore, with the explosion of Big Data, there is a requirement for innovative methods and infrastructures to collect, analyze, and derive meaningful insights from the vast amount of data generated. This necessitates the integration of computational and storage capabilities, databases, sensors, and human collaboration. Future Generation Computer Systems aims to pioneer advancements in distributed systems, collaborative environments, high-performance computing, and Big Data analytics. It strives to stay at the forefront of developments in grids, clouds, and the Internet of Things (IoT) to effectively address the challenges posed by these wide-area, fully distributed sensing and computing systems.