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    Forwarding Strategies for Named Data Networking Based IoT: Requirements, Taxonomy, and Open Research Challenges
    (Ieee-Inst Electrical Electronics Engineers Inc, 2023) Askar, Naeem Ali; Habbal, Adib; Alden, Feras Zen; Wei, Xian; Alaidaros, Hashem; Guo, Jielong; Yu, Hui
    The Internet of Things (IoT) aims to efficiently connect various entities, including humans, machines, smart devices, physical environments, and others, so they can communicate and exchange data in real time. However, due to the massive amount of data transferred, the presence of devices with limited resources, heterogeneity, and mobility support would make it difficult to create a robust network with respect to performance in an IoT context. In order to efficiently disseminate the enormous volume of automated data, Named Data Networking (NDN), a viable networking design for the future Internet, has been proposed. NDN has shown great potential for IoT because it has built-in support for naming, caching, mobility, and security. Forwarding strategies play an important role in the successful deployment of NDN-based IoT. In this article, we introduce NDN-based IoT forwarding emphasizing on IoT characteristics and requirements. We classify NDN-based IoT forwarding strategies and then discuss in detail certain exemplary schemes. Additionally, we compare several aspects of current forwarding methods that are now in use, including the types of forwarding strategy, particular issues, type of solution, assessment metrics, and simulation platform. We wrap up our contribution by outlining the major open research issues that can guide future investigations in this area. We anticipate that this survey will help the community of NDN-based IoT researchers' understanding of forwarding strategies in IoT environments.
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    SEF: A smart and energy-aware forwarding strategy for NDN-based internet of healthcare
    (Tech Science Press, 2024) Askar, Naeem Ali; Habbal, Adib; Hamouda, Hassen; Alnajim, Abdullah Mohammad; Khan, Sheroz
    Named Data Networking (NDN) has emerged as a promising communication paradigm, emphasizing content-centric access rather than location-based access. This model offers several advantages for Internet of Healthcare Things (IoHT) environments, including efficient content distribution, built-in security, and natural support for mobility and scalability. However, existing NDN-based IoHT systems face inefficiencies in their forwarding strategy, where identical Interest packets are forwarded across multiple nodes, causing broadcast storms, increased collisions, higher energy consumption, and delays. These issues negatively impact healthcare system performance, particularly for individuals with disabilities and chronic diseases requiring continuous monitoring. To address these challenges, we propose a Smart and Energy-Aware Forwarding (SEF) strategy based on reinforcement learning for NDN-based IoHT. The SEF strategy leverages the geographical distance and energy levels of neighboring nodes, enabling devices to make more informed forwarding decisions and optimize next-hop selection. This approach reduces broadcast storms, optimizes overall energy consumption, and extends network lifetime. The system model, which targets smart hospitals and monitoring systems for individuals with disabilities, was examined in relation to the proposed strategy. The SEF strategy was then implemented in the NS-3 simulation environment to assess its performance in healthcare scenarios. Results demonstrated that SEF significantly enhanced NDN-based IoHT performance. Specifically, it reduced energy consumption by up to 27.11%, 82.23%, and 84.44%, decreased retrieval time by 20.23%, 48.12%, and 51.65%, and achieved satisfaction rates that were approximately 0.69 higher than those of other strategies, even in more densely populated areas. This forwarding strategy is anticipated to substantially improve the quality and efficiency of NDN-based IoHT systems. Copyright