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CIC-SIoT: Clean-Slate Information-Centric Software-Defined Content Discovery and Distribution for Internet-of-Things

Karim, M. M. ORCID: 0000-0003-1753-065X, Sharif, K. ORCID: 0000-0001-7214-6568, Biswas, S. ORCID: 0000-0002-6770-9845 , Latif, Z. ORCID: 0000-0002-5373-8063, Qu, Q. ORCID: 0000-0001-5814-8460 & Li, F. ORCID: 0000-0002-2348-4488 (2024). CIC-SIoT: Clean-Slate Information-Centric Software-Defined Content Discovery and Distribution for Internet-of-Things. IEEE Internet of Things Journal, 11(22), pp. 37140-37153. doi: 10.1109/jiot.2024.3441814

Abstract

The rapid expansion of the Internet of Things (IoT) introduces critical challenges in scalability, mobility, and security, particularly in large-scale deployments. While Information-Centric Networking (ICN) addresses these by enhancing content mobility, multipath support, and edge-embedded caching with inherent security features, it faces limitations in handling large heterogeneous environments due to its in-network caching and content-based forwarding strategies. Software-Defined Networking (SDN) complements ICN by employing a centralized controller to intelligently orchestrate content caching and forwarding, yet struggles with the efficient allocation and acquisition of content across expansive IoT systems. In response to these challenges, we propose CIC-SIoT, a novel Information-Centric Software-Defined Networking (IC-SDN) solution, designed to optimize the ICN-IoT framework. Our solution incorporates specialized algorithms for controllers, consumers, producers, and ICN nodes. These algorithms improve content forwarding decisions by moving beyond the traditional reliance on the Forwarding Information Base (FIB) and instead utilizing the Pending Interest Table (PIT) to efficiently manage and distribute content. Validated through ndnSIM and MATLAB simulations, CIC-SIoT achieves substantial performance enhancements, including an 80% increase in throughput, a 34% reduction in latency, and a 25% savings in bandwidth. Additionally, it reduces packet loss by 67% and communication overhead by 66%, compared to existing solutions. These results underscore the framework’s ability to significantly improve the efficiency and scalability of content distribution in IoT environments, highlighting its robustness and adaptability in addressing the complex dynamics of modern networked systems.

Publication Type: Article
Additional Information: © 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Publisher Keywords: Software-Defined Networking, InformationCentric Networking, Internet-of-Things, TLV, Pending Interest Table
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > T Technology (General)
Departments: School of Science & Technology
School of Science & Technology > Computer Science
SWORD Depositor:
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