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An optimal content indexing approach for named data networking in software‐defined IoT system

Dudeja, Rajan Kumar and Singh, Amritpal and Bali, Rasmeet Singh and Aujla, Gagangeet Singh (2022) 'An optimal content indexing approach for named data networking in software‐defined IoT system.', IET Smart Cities, 4 (1).


The evolution of the Internet of Things (IoT) has increased the number of connected devices in the network. This has shifted the focus from IP-based network architecture towards content-centric networking (CCN). CCN eliminates the need for address-content binding in the conventional IP-based networks and allows the content to be accessed based on the name instead of the physical location. Named data networking (NDN) is a promising technique that can fulfil the increasing demand for connected devices through the CCN approach. NDN distributes the content on the network and focusses on the security of the content rather than the communication channel. However, the increase in traffic due to the escalation in the number of connected devices can lead to congestion in the network. The content distribution approach on the nodes is generalised and suitable for small networks. In the case of larger networks, an optimal approach is required to decide the optimal location to store the required content. However, a linear search approach is used to search (or lookup) the content in the assigned cache of the NDN node. In this work, the authors have combined the software-defined networking (SDN) with the NDN approach to overcome the above-highlighted challenge. Thus, the authors have designed an optimal content storage and indexing approach based on NDN-SDN coalesce in the IoT ecosystem. The proposed approach includes different phases, (a) a hashing-based content searching approach is formulated to reduce the look-up time of the content, (b) a red-black tree-based content storage approach is introduced for optimal utilisation of the assigned cache memory of the different NDN nodes, and (c) SDN controller facilitates automated network management and helps to administer the network requirements centrally and locate the content accordingly. The proposed approach was validated through the simulation experiments concerning network delay, packet rate, throughput, and cache hit ratio. The results obtained show the effectiveness of the proposed approach.

Item Type:Article
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Available under License - Creative Commons Attribution Non-commercial No Derivatives 4.0.
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Publisher statement:This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
Date accepted:17 January 2022
Date deposited:17 May 2022
Date of first online publication:08 February 2022
Date first made open access:17 May 2022

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