An introduction to NDN and its software architecture

Afanasyev, Alexander; Burke, Jeff; Crowley, Patrick; DiBenedetto, Steve; Thompson, Jeff; Zhang, Beichuan; Zhang, Lixia

doi:10.1145/2660129.2666709

Cited by 5 publications

(3 citation statements)

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“…LFU assumes that items that have been accessed less frequently are less likely to be accessed again in the future [32]. For delay and hop count, QWLCPM was assessed based on the best route strategy of the basic NDN [33] (bNDN, i.e., the default forwarding strategy of the named data network); in particular, bNDN forwards an interest to the upstream with the lowest routing cost. The simulation parameters for both city and highway scenarios are listed in Table 3.…”

Section: Methodsmentioning

confidence: 99%

QWLCPM: A Method for QoS-Aware Forwarding and Caching Using Simple Weighted Linear Combination and Proximity for Named Data Vehicular Sensor Network

Dhakal,

Sharma

2024

Electronics

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The named data vehicular sensor network (NDVSN) has become an increasingly important area of research because of the increasing demand for data transmission in vehicular networks. In such networks, ensuring the quality of service (QoS) of data transmission is essential. The NDVSN is a mobile ad hoc network that uses vehicles equipped with sensors to collect and disseminate data. QoS is critical in vehicular networks, as the data transmission must be reliable, efficient, and timely to support various applications. This paper proposes a QoS-aware forwarding and caching algorithm for NDVSNs, called QWLCPM (QoS-aware Forwarding and Caching using Weighted Linear Combination and Proximity Method). QWLCPM utilizes a weighted linear combination and proximity method to determine stable nodes and the best next-hop forwarding path based on various metrics, including priority, signal strength, vehicle speed, global positioning system data, and vehicle ID. Additionally, it incorporates a weighted linear combination method for the caching mechanism to store frequently accessed data based on zone ID, stability, and priority. The performance of QWLCPM is evaluated through simulations and compared with other forwarding and caching algorithms. QWLCPM’s efficacy stems from its holistic decision-making process, incorporating spatial and temporal elements for efficient cache management. Zone-based caching, showcased in different scenarios, enhances content delivery by utilizing stable nodes. QWLCPM’s proximity considerations significantly improve cache hits, reduce delay, and optimize hop count, especially in scenarios with sparse traffic. Additionally, its priority-based caching mechanism enhances hit ratios and content diversity, emphasizing QWLCPM’s substantial network-improvement potential in vehicular environments. These findings suggest that QWLCPM has the potential to greatly enhance QoS in NDVSNs and serve as a promising solution for future vehicular sensor networks. Future research could focus on refining the details of its implementation, scalability in larger networks, and conducting real-world trials to validate its performance under dynamic conditions.

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Section: Methodsmentioning

confidence: 99%

QWLCPM: A Method for QoS-Aware Forwarding and Caching Using Simple Weighted Linear Combination and Proximity for Named Data Vehicular Sensor Network

Dhakal,

Sharma

2024

Electronics

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“…These features allow content to be cached in the router to meet future requests while enabling user mobility. Consumers send requests for the required data, called interest packets, which are forwarded to data producers by the NDN forwarding daemon (NFD) [ 6 ]. Each NFD also includes a forwarding policy module that determines whether, when and through which interfaces the received interest is forwarded [ 7 ].…”

Section: Related Theorymentioning

confidence: 99%

Blockchain Private File Storage-Sharing Method Based on IPFS

Kang

Yang

Zheng

2022

Sensors

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Under the current national network environment, anyone can participate in publishing. As an important information resource, knowledge files reflect the workload of publishers. Moreover, high-quality knowledge files can promote the progress of society. However, pirated inferior files have the opposite effect. At present, most organizations use centralized servers to centrally manage the knowledge files released by users. In addition, it is necessary to introduce an untrusted third party to examine and encrypt the contents of files, which leads to an opaque process of file storage transactions, tampering with intellectual copyright, and the inability to have consistent systems of file management among institutions due to the lack of uniform standards for the same intellectual files. The purpose of this paper is to ensure the safe storage of knowledge files on the one hand and to realize efficient sharing of copyrighted files on the other hand. Therefore, this paper combines NDN (Named Data Network) technology with a distributed blockchain and an Interplanetary File System (IPFS) and proposes a blockchain knowledge file storage and sharing method based on an NDN. The method uses the NDN itself for the file content signature and encryption, thereby separating the file security and transmission process. At the same time, the method uses a flexible NDN reverse path forwarding and routing strategy, combining an IPFS private storage network to improve the safety of the encrypted data storage security. Finally, the method takes advantage of all participating nodes consensus and shares files in the synchronized blockchain to ensure traceability. This paper introduces the structure and principles of the method and describes the process of file upload and transfer. Finally, the performance of the method is compared and evaluated, and the advantages and disadvantages of the method and the future research direction are summarized.

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“…The different Faces communicate with each other through the NDN Forwarding Daemon (NFD) [1], which maintains internal data structures such as CS, PIT, and FIB, and implements the packet processing logic.…”

Section: Proof-of-concept Prototypementioning

confidence: 99%

ICN as Network Infrastructure for Multi-Sensory Devices: Local Domain Service Discovery for ICN-based IoT Environments

Quevedo

Guimarães

Ferreira

et al. 2017

Wireless Pers Commun

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Information Centric Networking (ICN) is an emerging research topic aiming at shifting the Internet from its current host-centric paradigm towards an approach centred around content, which enables the direct retrieval of information objects in a secure, reliable, scalable, and efficient way. The exposure of ICN to scenarios other than static content distribution is a growing research topic, promising to extend the impact of ICN to a broader scale. In this context, particular attention has been given to the application of ICN in Internet of Things (IoT) environments. The current paper, by focusing on local domain IoT scenarios, such as multisensory Machine to Machine (M2M) environments, discusses the challenges that ICN, particularly Interestbased solutions, impose to service discovery. This work proposes a service discovery mechanism for such scenarios, relying on an alternative forwarding pipeline for supporting its core operations. The proposed mechanism is validated through a proof-of-concept prototype, developed on top of the Named Data Networking (NDN) ICN architecture, with results showcasing the benefits of our solution for discovering services within a collision domain.

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An introduction to NDN and its software architecture

Cited by 5 publications

References 0 publications

QWLCPM: A Method for QoS-Aware Forwarding and Caching Using Simple Weighted Linear Combination and Proximity for Named Data Vehicular Sensor Network

QWLCPM: A Method for QoS-Aware Forwarding and Caching Using Simple Weighted Linear Combination and Proximity for Named Data Vehicular Sensor Network

Blockchain Private File Storage-Sharing Method Based on IPFS

ICN as Network Infrastructure for Multi-Sensory Devices: Local Domain Service Discovery for ICN-based IoT Environments

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