Building a reliable Internet of Things using Information-Centric Networking

Polyzos, George C.; Fotiou, Nikos

doi:10.1007/s40860-015-0003-5

Cited by 29 publications

(13 citation statements)

References 25 publications

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“…The key distribution is always a problem and provisioning large numbers of devices will make that even harder to correctly set up Things. Therefore the need for human intervention should be minimized and bootstrapping trust by leveraging ICN specific security mechanisms (as for example in [10]) is an interesting future work direction.…”

Section: Discussionmentioning

confidence: 99%

CoAP over ICN

Fotiou

Islam

Lagutin

et al. 2016

2016 8th IFIP International Conference on New Technologies, Mobility and Security (NTMS)

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The Constrained Application Protocol (CoAP) is a specialized Web transfer protocol for resource-oriented applications intended to run on constrained devices, typically part of the Internet of Things. In this paper we leverage Information-Centric Networking (ICN), deployed within the domain of a network provider that interconnects, in addition to other terminals, CoAP endpoints in order to provide enhanced CoAP services. We present various CoAP-specific communication scenarios and discuss how ICN can provide benefits to both network providers and CoAP applications, even though the latter are not aware of the existence of ICN. In particular, the use of ICN results in smaller state management complexity at CoAP endpoints, simpler implementation at CoAP endpoints, and less communication overhead in the network.

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Section: Discussionmentioning

confidence: 99%

CoAP over ICN

Fotiou

Islam

Lagutin

et al. 2016

2016 8th IFIP International Conference on New Technologies, Mobility and Security (NTMS)

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“…ICN deployment in the IoT has been studied with increasing intensity, touching protocol design aspects [11], [17]- [20], architecture work [21], [22], and practical use cases [7], [9], [23], [24]. Emerging link-layer extensions for the wireless like TSCH turned out to be beneficial for the interaction of NDN communication patterns and channel management [25].…”

Section: A Deployment In the Constrained Iotmentioning

confidence: 99%

HoPP: Robust and Resilient Publish-Subscribe for an Information-Centric Internet of Things

Gündoğan

Kietzmann

Schmidt

et al. 2018

2018 IEEE 43rd Conference on Local Computer Networks (LCN)

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This paper revisits NDN deployment in the IoT with a special focus on the interaction of sensors and actuators. Such scenarios require high responsiveness and limited control state at the constrained nodes. We argue that the NDN request-response pattern which prevents data push is vital for IoT networks. We contribute HoP-and-Pull (HoPP), a robust publish-subscribe scheme for typical IoT scenarios that targets IoT networks consisting of hundreds of resource constrained devices at intermittent connectivity. Our approach limits the FIB tables to a minimum and naturally supports mobility, temporary network partitioning, data aggregation and near real-time reactivity. We experimentally evaluate the protocol in a real-world deployment using the IoT-Lab testbed with varying numbers of constrained devices, each wirelessly interconnected via IEEE 802.15.4 LowPANs. Implementations are built on CCN-lite with RIOT and support experiments using various single-and multi-hop scenarios.

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“…Based on the above background, ICN (Information-Centric Networking [2]) is born. In order to overcome the well-known shortcomings of the existing Internet (such as lower transmission efficiency, content distribution, and file sharing), the future network has become a research hotspot, and the ICN is considered as one of the most promising solutions in many scenarios [3][4][5]. Cache deployment and content caching is applied to ICN [6][7][8], and nodes are allowed to cache the transferred The goal is to minimize the network energy consumption while the cache performance is improved.…”

Section: Introductionmentioning

confidence: 99%

“…Its architectures are expected to effectively support mobility. Furthermore, based on the ICN paradigm, the authors presents network architecture for the IoT (Internet of Things) [5]. The authors analyze large content in intensive applications and how looped replacement occurs [24].…”

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confidence: 99%

A Cache Placement Strategy with Energy Consumption Optimization in Information-Centric Networking

2019

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With the rapid development of cloud computing, big data, and Internet of Things, Information-Centric Networking (ICN) has become a novel hotspot in the field of future Internet architecture, and new problems have appeared. In particular, more researchers consider information naming, delivery, mobility, and security in ICN. In this paper, we mainly focus on the cache placement strategy and network performance of ICN, and propose a cache placement strategy with energy consumption optimization. In order to optimize the energy consumption of the ICN, the best cache placement node is selected from the view of users. First of all, the distance sequence of different nodes arriving at each user is obtained in terms of detection results of network distribution channels, and the corresponding energy consumption of information distribution is obtained from the distance sequence. Secondly, the reward function of the cache node is derived using two factors of energy consumption, which includes the additional energy consumed by the change of the cache node and the energy consumption of the content distribution. Finally, we construct the optimal stopping theory problem to solve the maximum expected energy saving. In simulations, we give the comparison results of energy savings, caching benefit, and delivery success rate. The results show that the strategy proposed by this paper has higher delivery success rate and lower energy consumption than other strategies.

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Building a reliable Internet of Things using Information-Centric Networking

Cited by 29 publications

References 25 publications

CoAP over ICN

CoAP over ICN

HoPP: Robust and Resilient Publish-Subscribe for an Information-Centric Internet of Things

A Cache Placement Strategy with Energy Consumption Optimization in Information-Centric Networking

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