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Naming Services in the Internet of Things
Published in B.K. Tripathy, J. Anuradha, Internet of Things (IoT), 2017
T.R. Sooraj, R.K. Mohanty, B.K. Tripathy
Shang et al. [33] discussed how named data networking (NDN) addresses the root causes of the various challenges in IoT and can help achieve the IoT vision in a more secure, straightforward, and innovation-friendly manner. The first challenge of IoT is how to enable all different types of digital devices that provide IoT functionality to communicate locally and globally. The second is how to consistently and securely communicate the data associated with the things themselves, once connectivity is achieved.
The Survey, Research Challenges, and Opportunities in ICN
Published in Sanjay Kumar Biswash, Sourav Kanti Addya, Cloud Network Management, 2020
Supratik Banerjee, Tapan Naskar, Sanjay Kumar Biswash
Named Data Networking (NDN) is one of five projects funded by the U.S. National Science Foundation under its Future Internet Architecture Program. And Content-Centric Networking (CCN) served as the predecessor of NDN.
Information-Centric Exchange Mechanisms for IoT Interoperable Deployment
Published in M. Bala Krishna, User-Centric and Information-Centric Networking and Services, 2019
Daniel Corujo, Carlos Guimarães, José Quevedo, Rui Ferreira, Rui L. Aguiar
Named Data Networking (NDN) is a research project5 from the National Science Foundation which focuses on a Future Internet Architecture. Based on the original code of CCNx,6 NDN produced a derivative architecture and open-source implementation, sharing the key architectural principles of ICN. In that sense, NDN enables a receiver-driven communication based on Interest (i.e. a packet used by consumers to request content) and Data (i.e. a packet used by any entity in the network to reply back with the requested content when it is available in its cache). The exchange of these packets is driven by two main aspects. The first one refers to the included name of the content, which allows it to be uniquely identified. The second is the set of data structures existing in ICN-enabled routers, namely the Pending Interest Table (PIT), which stores requests for content that have not been replied to yet; the Forwarding Information Base (FIB), which maps names to interfaces; and the Consent Store (CS), which acts as a temporary cache for content that is replied back to requests. This unique combination allows the requested content to be decoupled from where it was obtained, supported by security measures applied directly to the content instead of the communication channel. The NDN protocol is based on a request-response communication model that decouples the consumer and producer of the information. Moreover, consumers do not require a network address to retrieve content, and exchange messages do not contain consumer identification information. As such, this operation principles hinder the utilization of NDN in scenarios requiring the spontaneous push of content (e.g., emergency notification). A possible way of supporting such scenarios in NDN is to continuously inquire the network about the existence of new information (i.e., polling approach). However, in IoT scenarios where devices are not always available (e.g., because of sleep cycles) and communications should be minimized in order to save scarce resources (e.g., energy), the practicability of a polling approach may be limited. These limitations are more impactful as the information generation is more unpredictable.
An efficient and DoS-resilient name lookup for NDN interest forwarding
Published in Connection Science, 2021
Dacheng He, Dafang Zhang, Yanbiao Li, Wei Liang, Meng-Yen Hsieh
Named Data Networking (NDN) is a novel network architecture, similar to ICN in information transmission. Compared with traditional TCP/IP networks, NDN has several advantages in data transmission for big data processing (Yu et al., 2020), such as broadcast communication, request aggregation, network load balance, and others. The architecture is potential in some popular fields like the Internet of Things (Liang, Huang, et al., 2020; Zhang et al., 2020), Edge computing (Shi & Dustdar, 2016), Blockchain (Liang, Fan, et al., 2020.; Liang, Zhang, et al., 2020) and deep learning (Hu et al., 2020; Jiang et al., 2020; Zhu et al., 2019). There are already related applications deployed in NDN (Jin et al., Jul 04-07, 2017; Yang et al., 2019). As shown in Figure 1, it is a simple scenario for NDN forwarding, where Client 1 and Client 2 both request transaction information in a short time. Since interest aggregations in NDN router 1, it sends only one interest packet to NDN router 2, which lightens the core network load.
Flooding Control in Named Data Networking
Published in IETE Technical Review, 2018
Shatarupa Dash, Bharat J.R. Sahu, Navrati Saxena, Abhishek Roy
Idea and engineering principle of today's Internet was created in the 1960s and 1970s. The main goal of networking was resource sharing, and the underlying communication model was limited to communication between exactly two machines: one intending to use resources and another providing access to it [1]. The Internet has now reached the era of Internet of Things, where service is more important than communication [2]. Due to these behavioural changes, three problems arise in old Internet Protocol (IP)-based Internet: availability, security, and location dependency of data. Named Data Networking (NDN) [3] is the new networking paradigm that tries to address these issues with the current IP-based Internet by using named data instead of named hosts [4]. Thus, NDN is based on “what DATA” than “where DATA”.
Named data networking with neural networks for intelligent image processing information systems
Published in Enterprise Information Systems, 2022
Zhengzhou Han, Zhuo Li, Kaihua Liu, Liu Yan
In order to cope with the future business needs of the Internet, Named Data Networking (NDN) (Zhang et al. 2014a) was proposed in 2010 as a typical example of a transformative study of future Internet architecture relating to IoT. Different from the current TCP/IP network architecture, the named data network replaces the IP address with the content name, no longer cares about the location of the content storage, but only the content itself. Besides, by deploying a buffer memory in the middle node of the network, the nearest acquisition and load balancing are realised and tolerance, which greatly improves the performance, efficiency and reliability of large-scale content distribution, and the sharing rate of network resources in IoT.