NDN-Based Multimedia Content Distribution in Space-Ground Integration Network

Lyu, Junfeng; Chen, Yulong; Cao, Yang

doi:10.1109/iccchinaw.2018.8674504

Cited by 7 publications

(4 citation statements)

References 17 publications

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“…The NS-3, a discrete event-driven network simulator, consists of interdependent modules; the ndnSIM module is the latest ICN simulation module based on NS-3, which implements the basic components of ICN modularly [ 12 ]. Yet the current ndnSIM can only provide the lower layer support of the ICN protocol stack, such as CS, PIT, and FIB, forwarding policy, and cache replacement strategy [ 59 ]. Therefore, this paper expands the NS-3 structure by adding LEO modules and develops a hierarchical simulation platform, as shown in Figure 11 [ 41 ]; the simulation platform consists of four layers: infrastructure, a network model that considers the number of orbital planes in the LEO-SMC-ICN-IoT network, the number of satellite nodes in each orbital plane, the orbital height of the satellite constellation, and ISLs to construct a mobile model with mobility prediction [ 41 ]; a network configuration configures the broadcast channel for the LEO-SMC-ICN-IoT; the control layer is responsible for maintaining and updating the ISLs and satellite-to-ground links, and is also responsible for data packet caching and routing between satellite nodes in the network.…”

Section: Simulation Experiments and Analysismentioning

confidence: 99%

Caching Policy in Low Earth Orbit Satellite Mega-Constellation Information-Centric Networking for Internet of Things

Luo,

Yan,

2024

Sensors

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Information-Centric Networking (ICN) is the emerging next-generation internet paradigm. The Low Earth Orbit (LEO) satellite mega-constellation based on ICN can achieve seamless global coverage and provide excellent support for Internet of Things (IoT) services. Additionally, in-network caching, typically characteristic of ICN, plays a paramount role in network performance. Therefore, the in-network caching policy is one of the hotspot problems. Especially, compared to caching traditional internet content, in-networking caching IoT content is more challenging, since the IoT content lifetime is small and transient. In this paper, firstly, the framework of the LEO satellite mega-constellation Information-Centric Networking for IoT (LEO-SMC-ICN-IoT) is proposed. Then, introducing the concept of “viscosity”, the proposed Caching Algorithm based on the Random Forest (CARF) policy of satellite nodes combines both content popularity prediction and satellite nodes location prediction, for achieving good cache matching between the satellite nodes and content. And using the matching rule, the Random Forest (RF) algorithm is adopted to predict the matching relationship among satellite nodes and content for guiding the deployment of caches. Especially, the content is cached in advance at the future satellite to maintain communication with the current ground segment at the time of satellite switchover. Additionally, the policy considers both the IoT content lifetime and the freshness. Finally, a simulation platform with LEO satellite mega-constellation based on ICN is developed in Network Simulator 3 (NS-3). The simulation results show that the proposed caching policy compared with the Leave Copy Everywhere (LCE), the opportunistic (OPP), the Leave Copy down (LCD), and the probabilistic algorithm which caches each content with probability 0.5 (prob 0.5) yield a significant performance improvement, such as the average number of hops, i.e., delay, cache hit rate, and throughput.

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Section: Simulation Experiments and Analysismentioning

confidence: 99%

Caching Policy in Low Earth Orbit Satellite Mega-Constellation Information-Centric Networking for Internet of Things

Luo,

Yan,

2024

Sensors

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“…The current NS-3 does not provide an LEO satellite network simulation module [11], nor does it have high-speed LEO mobile and dedicated protocol stacks for satellite-to-ground communications, such as DVB-RCS2. ndnSIM can only provide the lower layer support of the NDN protocol stack, such as content storage CS, pending interest table PIT, forwarding interest database FIB, forwarding strategy and cache replacement strategy [32]. Therefore, this article expands the NS-3 structure by adding LEO satellite modules and develops a hierarchical LEO mega constellation simulation platform, as shown in Figure 12.…”

Section: Design Of Leo Mega Constellation Simulation Platformmentioning

confidence: 99%

“…To our knowledge, past research on ICN naming has primarily focused on hierarchical naming [30,31] on the ground for different scenarios, and many studies use IP as a comparison [32]. This paper applies ICN in space-based networks to alleviate the traffic load of terrestrial networks and provide global "anywhere-anytime" Internet access.…”

Section: Introductionmentioning

confidence: 99%

Data Naming Mechanism of LEO Satellite Mega-Constellations for the Internet of Things

Xia

Luo

et al. 2022

Applied Sciences

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The low earth orbit (LEO) mega constellation for the internet of thing (IoT) has become one of the hot spots for B5G and 6G concerns. Information-centric networking (ICN) provides a new approach to the interconnection of everything in the LEO mega constellation. In ICN, data objects are independent of location, application, storage and transport methods. Therefore, data naming is one of the fundamental issues of ICN, and research on the data naming mechanism of the LEO mega constellation for the IoT is thus the focus of this study. Adopting a fusion of hierarchical, multicomponent, and hash flat as one structure, a data naming mechanism is proposed, which can meet the needs of the IoT multiservice attributes and high-performance transmission. Additionally, prefix tokens are used to describe hierarchical names with various embedded semantic functions to support multisource content retrieval for in-network functions. To verify the performance of the proposed data naming mechanism, an NS-3-based simulation platform for LEO mega constellations for the IoT is designed and developed. The test simulation results show that, compared with the IP address, the ICN-HMcH naming mechanism can increase throughput by as much as 54% and reduce the transmission delay of the LEO mega satellites for the IoT by 53.97%. The proposed data naming mechanism can provide high quality of service (QoS) transmission performance for the LEO mega constellation for IoT and performs better than IP-based transmission.

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“…In particular, they explain that the hop-by-hop approach for the congestion problem should: (a) help with the heterogeneity of physical layers across the end-to-end paths, (b) grab the opportunity to define an unique solution working on all type of network and removing the need of proxies (such as Performance-Enhancing Proxies) and (c) exploit the multipath and multi-source in order to have an efficient use of the satellite resources. In [8], the authors compare the multimedia content distribution over satellite networks with IP and NDN stack. They claim that NDN provides a better throughput and end-to-end delay.…”

Section: Related Workmentioning

confidence: 99%

Reactivity Enhancement of Cooperative Congestion Control for Satellite Networks

Thibaud¹,

Fasson

Arnal

et al. 2020

2020 3rd International Conference on Hot Information-Centric Networking (HotICN)

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The new paradigm of Information Centric Network (ICN) proposes a shift from the host-centric model to a contentcentric model. This approach, especially well suited to the current Internet's usage, is promising for Satellite Networks. In particular, Named Data Networking (NDN) architecture seems to be a great candidate: it gathers the benefits of Content Delivery Networks (CDN), Peer-to-Peer networks (P2P) and HTTP in the network layer. In this study, we propose to compare the performances of TCP-like congestion control algorithms and our new Cooperative Congestion Control (CCC) approach. CCC is a pace-based multipath and multi-flow aware congestion control. We evaluate those algorithms with simulations on a topology where we place the satellite link on different positions. We show that CCC outperforms window-based algorithms but has still some drawbacks. We thus proposed an enhancement of CCC that corrects the flaws by increasing its reactivity. Simulations results show that the performances on terrestrial scenarios are also enhanced.

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NDN-Based Multimedia Content Distribution in Space-Ground Integration Network

Cited by 7 publications

References 17 publications

Caching Policy in Low Earth Orbit Satellite Mega-Constellation Information-Centric Networking for Internet of Things

Caching Policy in Low Earth Orbit Satellite Mega-Constellation Information-Centric Networking for Internet of Things

Data Naming Mechanism of LEO Satellite Mega-Constellations for the Internet of Things

Reactivity Enhancement of Cooperative Congestion Control for Satellite Networks

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