Cache Aging with Learning (CAL): A Freshness-Based Data Caching Method for Information-Centric Networking on the Internet of Things (IoT)
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 a...
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2025-01-01
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| Series: | Future Internet |
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| Online Access: | https://www.mdpi.com/1999-5903/17/1/11 |
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| author | Nemat Hazrati Sajjad Pirahesh Bahman Arasteh Seyed Salar Sefati Octavian Fratu Simona Halunga |
| author_facet | Nemat Hazrati Sajjad Pirahesh Bahman Arasteh Seyed Salar Sefati Octavian Fratu Simona Halunga |
| author_sort | Nemat Hazrati |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-d646997706964472b5e0039ff8f6daef |
| institution | Kabale University |
| issn | 1999-5903 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Future Internet |
| spelling | doaj-art-d646997706964472b5e0039ff8f6daef2025-01-24T13:33:33ZengMDPI AGFuture Internet1999-59032025-01-011711110.3390/fi17010011Cache Aging with Learning (CAL): A Freshness-Based Data Caching Method for Information-Centric Networking on the Internet of Things (IoT)Nemat Hazrati0Sajjad Pirahesh1Bahman Arasteh2Seyed Salar Sefati3Octavian Fratu4Simona Halunga5Department of Computer Engineering, Tabriz Branch, Islamic Azad University, Tabriz 5157944533, IranDepartment of Computer Engineering, Tabriz Branch, Islamic Azad University, Tabriz 5157944533, IranDepartment of Software Engineering, Faculty of Engineering and Natural Science, Istinye University, Istanbul 34460, TürkiyeDepartment of Software Engineering, Faculty of Engineering and Natural Science, Istinye University, Istanbul 34460, TürkiyeFaculty of Electronics, Telecommunications and Information Technology, National University for Science and Technology POLITEHNICA Bucharest, 060042 Bucharest, RomaniaFaculty of Electronics, Telecommunications and Information Technology, National University for Science and Technology POLITEHNICA Bucharest, 060042 Bucharest, RomaniaInformation-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.https://www.mdpi.com/1999-5903/17/1/11information-centric networkingInternet of Thingsin-network cachingdata freshnesscache replacement strategy |
| spellingShingle | Nemat Hazrati Sajjad Pirahesh Bahman Arasteh Seyed Salar Sefati Octavian Fratu Simona Halunga Cache Aging with Learning (CAL): A Freshness-Based Data Caching Method for Information-Centric Networking on the Internet of Things (IoT) Future Internet information-centric networking Internet of Things in-network caching data freshness cache replacement strategy |
| title | Cache Aging with Learning (CAL): A Freshness-Based Data Caching Method for Information-Centric Networking on the Internet of Things (IoT) |
| title_full | Cache Aging with Learning (CAL): A Freshness-Based Data Caching Method for Information-Centric Networking on the Internet of Things (IoT) |
| title_fullStr | Cache Aging with Learning (CAL): A Freshness-Based Data Caching Method for Information-Centric Networking on the Internet of Things (IoT) |
| title_full_unstemmed | Cache Aging with Learning (CAL): A Freshness-Based Data Caching Method for Information-Centric Networking on the Internet of Things (IoT) |
| title_short | Cache Aging with Learning (CAL): A Freshness-Based Data Caching Method for Information-Centric Networking on the Internet of Things (IoT) |
| title_sort | cache aging with learning cal a freshness based data caching method for information centric networking on the internet of things iot |
| topic | information-centric networking Internet of Things in-network caching data freshness cache replacement strategy |
| url | https://www.mdpi.com/1999-5903/17/1/11 |
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