An Architectural Vision for a Data-Centric IoT: Rethinking Things, Trust and Clouds

Blockchain, as the backbone technology of the current popular Bitcoin digital currency, has become a promising decentralized data management framework. Although blockchain has been widely adopted in many applications, e.g., finance, healthcare, and logistics, its application in mobile services is still limited. This is due to the fact that blockchain users need to solve preset proof-of-work puzzles to add new data, i.e., a block, to the blockchain. Solving the proof-of-work, however, consumes substantial resources in terms of CPU time and energy, which is not suitable for resource-limited mobile devices. To facilitate blockchain applications in future mobile Internet of Things systems, multiple access mobile edge computing appears to be an auspicious solution to solve the proof-of-work puzzles for mobile users. We first introduce a novel concept of edge computing for mobile blockchain. Then, we introduce an economic approach for edge computing resource management. Moreover, a prototype of mobile edge computing enabled blockchain systems is presented with experimental results to justify the proposed concept.

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“…The similar concept can be applied for plug-in hybrid electric vehicles (PHEVs) [2] to support energy storage sharing. 7…”

Section: B Application Scenariosmentioning

confidence: 99%

When Mobile Blockchain Meets Edge Computing

Xiong

Zhang

Niyato³

et al. 2018

IEEE Commun. Mag.

489

217

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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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“…By and large, the rationale behind deploying proxy caches was: i) reduce response delay to end-users, ii) reduce core-network traffic, and, iii) reduce server load. Moving to the edge-/fog-computing paradigm, we could realistically argue that the motivation and expectation is roughly similar: move network functions and user-facing applications closer to the users to reduce response delay and network traffic towards the core [13], [10], [27], [23].…”

Section: Compute Decentralisationmentioning

confidence: 99%

Decentralised Edge-Computing and IoT through Distributed Trust

Psaras

2018

Proceedings of the 16th Annual International Conference on Mobile Systems, Applications, and Services

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The emerging Internet of Things needs edge-computing -this is an established fact. In turn, edge computing needs infrastructure decentralisation. What is not necessarily established yet is that infrastructure decentralisation needs a distributed model of Internet governance and decentralised trust schemes. We discuss the features of a decentralised IoT and edge-computing ecosystem and list the components that need to be designed, as well the challenges that need to be addressed.

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An Architectural Vision for a Data-Centric IoT: Rethinking Things, Trust and Clouds

Cited by 32 publications

References 22 publications

When Mobile Blockchain Meets Edge Computing

When Mobile Blockchain Meets Edge Computing

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

Decentralised Edge-Computing and IoT through Distributed Trust

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