Cache Aging with Learning (CAL): A Freshness-Based Data Caching Method for Information-Centric Networking on the Internet of Things (IoT)

Nemat Hazrati, Sajjad Pirahesh, Bahman Arasteh (), Seyed Salar Sefati, Octavian Fratu and Simona Halunga ()
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Nemat Hazrati: Department of Computer Engineering, Tabriz Branch, Islamic Azad University, Tabriz 5157944533, Iran
Sajjad Pirahesh: Department of Computer Engineering, Tabriz Branch, Islamic Azad University, Tabriz 5157944533, Iran
Bahman Arasteh: Department of Software Engineering, Faculty of Engineering and Natural Science, Istinye University, Istanbul 34460, Türkiye
Seyed Salar Sefati: Department of Software Engineering, Faculty of Engineering and Natural Science, Istinye University, Istanbul 34460, Türkiye
Octavian Fratu: Faculty of Electronics, Telecommunications and Information Technology, National University for Science and Technology POLITEHNICA Bucharest, 060042 Bucharest, Romania
Simona Halunga: Faculty of Electronics, Telecommunications and Information Technology, National University for Science and Technology POLITEHNICA Bucharest, 060042 Bucharest, Romania

Future Internet, 2025, vol. 17, issue 1, 1-24

Abstract: Information-centric networking (ICN) changes the way data are accessed by focusing on the content rather than the location of devices. In this model, each piece of data has a unique name, making it accessible directly by name. This approach suits the Internet of Things (IoT), where data generation and real-time processing are fundamental. Traditional host-based communication methods are less efficient for the IoT, making ICN a better fit. A key advantage of ICN is in-network caching, which temporarily stores data across various points in the network. This caching improves data access speed, minimizes retrieval time, and reduces overall network traffic by making frequently accessed data readily available. However, IoT systems involve constantly updating data, which requires managing data freshness while also ensuring their validity and processing accuracy. The interactions with cached data, such as updates, validations, and replacements, are crucial in optimizing system performance. This research introduces an ICN-IoT method to manage and process data freshness in ICN for the IoT. It optimizes network traffic by sharing only the most current and valid data, reducing unnecessary transfers. Routers in this model calculate data freshness, assess its validity, and perform cache updates based on these metrics. Simulation results across four models show that this method enhances cache hit ratios, reduces traffic load, and improves retrieval delays, outperforming similar methods. The proposed method uses an artificial neural network to make predictions. These predictions closely match the actual values, with a low error margin of 0.0121. This precision highlights its effectiveness in maintaining data currentness and validity while reducing network overhead.

Keywords: information-centric networking; Internet of Things; in-network caching; data freshness; cache replacement strategy (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2025
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Citations: View citations in EconPapers (1)

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