Cache Freshness in Named Data Networking for the Internet of Things

Abstract

The Information-Centric Networking (ICN) paradigm is shaping the foreseen future Internet architecture by focusing on the data itself rather than its hosting location. It is a shift from a host-centric communication model to a contentcentric model supporting among others unique and location-independent content names, in-network caching and name-based routing. By leveraging the easy data access, and reducing both the retrieval delay and the load on the data producer, the ICN can be a viable framework to support the Internet of Things (IoT), interconnecting billions of heterogeneous constrained objects. Among several ICN architectures, the Named Data Networking (NDN) is considered as a suitable ICN architecture for IoT systems. However, its default caching approach lacks a data freshness mechanism, while IoT data are transient and frequently updated by the producer which imposes stringent requirements in terms of information freshness. Furthermore, IoT devices are usually resource-constrained with harsh limitations on energy, memory and processing power. We propose in this paper a caching strategy and a novel cache freshness mechanism to monitor the validity of cached contents in an IoT environment while minimizing the caching process cost. We compared our solution to several relevant schemes using the ccnSim simulator. Our solution exhibits the best system performances in terms of hop reduction ratio, server hit reduction ratio and response latency, yet it provides the lowest cache cost and significantly improves the content validity.

Caching Transient Contents in Vehicular Named Data Networking: A Performance Analysis

“…Some proposals were devised in IoT sensor networks, with the main target of reducing the data retrieval latency and limit the energy consumption [4][5][6]. Other works considered caching transient contents in wired networks segments [7,8].…”

“…Such an effect is particularly exacerbated in VANETs, due to the broadcast nature of the wireless medium that facilitates sharing of data, also of useless data, if they expired. However, literature on caching transient contents in NDN is almost unexplored in VANETs and still in its early stage for Internet of Things (IoT) contents [4][5][6] and wired networks [7,8]. To fill this gap, the following contributions are provided in this paper:…”

A Classification of the Enabling Techniques for Low Latency and Reliable Communications in 5G and Beyond: AI-Enabled Edge Caching

“…The analysis results revealed that, the topology of the network and the routing algorithms used to generate forwarding information might have a significant impact on the performance of a given caching strategy. In [111], it was pointed out that IoT data is transient and frequently updated by the producer. Therefore, IoT data imposes strict requirements in terms of information freshness.…”

A Review on Green Caching Strategies for Next Generation Communication Networks

“…IoT content objects are transient in nature and frequently updated [184]. In addition, storage capacity of IoT devices is limited, and IoT applications also have specific data freshness requirements.…”