Guest Editorial: Special Section on Intelligent Informatics for Edge of Things in Smart Industrial Ecosystem

Zomaya, Albert Y.; Kumar, Neeraj; Rodrigues, Joel J. P. C.; Aujla, Gagangeet Singh

doi:10.1109/tii.2019.2956047

Cited by 3 publications

(1 citation statement)

References 10 publications

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“…Because the IoT is distributed in all aspects of life, the authors of literature [37] introduce many applications of the IoT. In document [38], an IoT workflow composite system is proposed, which enables IoT users to pipeline their workflow in the proposed IoT workflow activity abstraction mode.…”

Section: Related Workmentioning

confidence: 99%

A Reliable Data-transmission Mechanism using Blockchain in Edge Computing Scenarios

Zhang¹,

Pang²,

Kumar³

et al. 2022

Preprint

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With the advent of the Internet of things (IoT) era, more and more devices are connected to the IoT. Under the traditional cloud-thing centralized management mode, the transmission of massive data is facing many difficulties, and the reliability of data is difficult to be guaranteed. As emerging technologies, blockchain technology and edge computing (EC) technology have attracted the attention of academia in improving the reliability, privacy and invariability of IoT technology. In this paper, we combine the characteristics of the EC and blockchain to ensure the reliability of data transmission in the IoT. First of all, we propose a data transmission mechanism based on blockchain, which uses the distributed architecture of blockchain to ensure that the data is not tampered with; secondly, we introduce the three-tier structure in the architecture in turn; finally, we introduce the four working steps of the mechanism, which are similar to the working mechanism of blockchain. In the end, the simulation results show that the proposed scheme can ensure the reliability of data transmission in the Internet of things to a great extent.

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Section: Related Workmentioning

confidence: 99%

A Reliable Data-transmission Mechanism using Blockchain in Edge Computing Scenarios

Zhang¹,

Pang²,

Kumar³

et al. 2022

Preprint

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A smart collaborative framework for dynamic multi-task offloading in IIoT-MEC networks

Zhang

et al. 2023

Peer-to-Peer Netw. Appl.

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To circumvent persistent connectivity to the cloud infrastructure, the current emphasis on computing at network edge devices in the multi-robot domain is a promising enabler for delay-sensitive jobs, yet its adoption is rife with challenges. This paper proposes a novel utility-aware dynamic task offloading strategy based on a multi-edge-robot system that takes into account computation, communication, and task execution load to minimize the overall service time for delay-sensitive applications. Prior to task offloading, continuous device, network, and task profiling are performed, and for each task assigned, an edge with maximum utility is derived using a weighted utility maximization technique, and a system reward assignment for task connectivity or sensitivity is performed. A scheduler is in charge of task assignment, whereas an executor is responsible for task offloading on edge devices. Experimental comparisons of the proposed approach with conventional offloading methods indicate better performance in terms of optimizing resource utilization and minimizing task latency.

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A Reliable Data-Transmission Mechanism Using Blockchain in Edge Computing Scenarios

Zhang

Pang

Kumar

et al. 2022

IEEE Internet Things J.

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Guest Editorial: Special Section on Intelligent Informatics for Edge of Things in Smart Industrial Ecosystem

Cited by 3 publications

References 10 publications

A Reliable Data-transmission Mechanism using Blockchain in Edge Computing Scenarios

A Reliable Data-transmission Mechanism using Blockchain in Edge Computing Scenarios

A smart collaborative framework for dynamic multi-task offloading in IIoT-MEC networks

A Reliable Data-Transmission Mechanism Using Blockchain in Edge Computing Scenarios

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