[HTML][HTML] Enhancing supply chain performance using RFID technology and decision support systems in the industry 4.0–A systematic literature review

B Unhelkar, S Joshi, M Sharma, S Prakash… - International Journal of …, 2022 - Elsevier
Supply Chain processes are continuously marred by myriad factors including varying
demands, changing routes, major disruptions, and compliance issues. Therefore, supply …

Energy-efficient industrial Internet of Things: Overview and open issues

W Mao, Z Zhao, Z Chang, G Min… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
The last few decades have witnessed an explosive growth of the Internet-of-Things (IoT)
systems, which provide ubiquitous sensing and computing services. When adopted in …

A cloud–MEC collaborative task offloading scheme with service orchestration

M Huang, W Liu, T Wang, A Liu… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
Billions of devices are connected to the Internet of Things (IoT). These devices generate a
large volume of data, which poses an enormous burden on conventional networking …

Knowledge growth and development: internet of things (IoT) research, 2006–2018

M Dachyar, TYM Zagloel, LR Saragih - Heliyon, 2019 - cell.com
Abstract The term" Internet of Things" first appeared in publication paper since 2006,
describing the paradigm of evolution concept that brought about by the presence of internet …

Accurate localization of tagged objects using mobile RFID-augmented robots

X Liu, J Zhang, S Jiang, Y Yang, K Li… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This paper studies the problem of tag localization using RFID-augmented robots, which is
practically important for promising warehousing applications, eg, automatic item fetching …

Towards real-time cooperative deep inference over the cloud and edge end devices

S Zhang, Y Li, X Liu, S Guo, W Wang, J Wang… - Proceedings of the …, 2020 - dl.acm.org
Deep neural networks (DNNs) have been widely used in many intelligent applications such
as object recognition and automatic driving due to their superior performance in conducting …

A queuing delay utilization scheme for on-path service aggregation in services-oriented computing networks

M Huang, W Liu, T Wang, H Song, X Li, A Liu - IEEE Access, 2019 - ieeexplore.ieee.org
In services-oriented computing networks, packets in the process of routing to a data center
must wait for a sufficient amount of data before service aggregation to reduce the network …

An optimal network coding based backpressure routing approach for massive IoT network

S Malathy, V Porkodi, A Sampathkumar… - Wireless …, 2020 - Springer
In order to mitigate the power consumption issue for the sensor's nodes, an efficient power
optimized routing protocol is needed. Therefore, this paper proposes a network coding …

Delay and energy-efficient data collection scheme-based matrix filling theory for dynamic traffic IoT

X Xiang, W Liu, T Wang, M Xie, X Li, H Song… - EURASIP Journal on …, 2019 - Springer
Data collection is the basic functions of the Internet of Things (IoT), in which the sensed data
are concentrations from sensor nodes to the sink, with a timely style, so the smart response …

A reinforcement learning approach for optimizing the age-of-computing-enabled IoT

X Xie, H Wang, M Weng - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Age of Information (AoI) is a newly rising metric for measuring the freshness of information.
In this article, we consider a multidevice computing-enabled Internet of Things (IoT) system …