Artificial-intelligence-driven customized manufacturing factory: key technologies, applications, and challenges

J Wan, X Li, HN Dai, A Kusiak… - Proceedings of the …, 2020 - ieeexplore.ieee.org
The traditional production paradigm of large batch production does not offer flexibility toward
satisfying the requirements of individual customers. A new generation of smart factories is …

Machine-to-Machine (M2M) communications: A survey

PK Verma, R Verma, A Prakash, A Agrawal… - Journal of Network and …, 2016 - Elsevier
Abstract Machine-to-Machine (M2M) communication is a promising technology for next
generation communication systems. This communication paradigm facilitates ubiquitous …

Enabling cyber‐physical communication in 5G cellular networks: challenges, spatial spectrum sensing, and cyber‐security

R Atat, L Liu, H Chen, J Wu, H Li… - IET Cyber‐Physical …, 2017 - Wiley Online Library
Cyber‐physical systems (CPS) help create new services and applications by revolutionising
our world in different fields through their tight interactions and automated decisions. This is …

Air quality monitoring system based on ISO/IEC/IEEE 21451 standards

KSE Phala, A Kumar, GP Hancke - IEEE Sensors Journal, 2016 - ieeexplore.ieee.org
An air quality monitoring system (AQMS) based on the IEEE/ISO/IEC 21451 standards is
presented. In the development of an AQMS, we have used the GSM wireless communication …

Security for smart grid in 5G and beyond networks

S De Dutta, R Prasad - Wireless personal communications, 2019 - Springer
The smart grid is the next-generation electrical power system that combines operations
technology (OT) and information technology (IT) for the efficient generation, delivery, and …

Machine-to-machine (M2M) communications in vehicular networks

MJ Booysen, JS Gilmore, S Zeadally… - KSII Transactions on …, 2012 - koreascience.kr
To address the need for autonomous control of remote and distributed mobile systems,
Machine-to-Machine (M2M) communications are rapidly gaining attention from both …

[图书][B] Machine-to-machine communications: architectures, technology, standards, and applications

VB Misic, J Misic - 2014 - books.google.com
With the number of machine-to-machine (M2M)–enabled devices projected to reach 20 to 50
billion by 2020, there is a critical need to understand the demands imposed by such …

Application of Q-learning for RACH access to support M2M traffic over a cellular network

LM Bello, P Mitchell, D Grace - European Wireless 2014; 20th …, 2014 - ieeexplore.ieee.org
This paper considers the coexistence of Machine-to-Machine (M2M) and Human-to-Human
(H2H) based traffic sharing the Random Access Channel (RACH) of an existing cellular …

On m2m software

D Namiot, M Sneps-Sneppe - International Journal of Open Information …, 2014 - injoit.ru
This paper provides an overview for existing and upcoming system software projects in M2M
area. In this article we discuss system software models and solutions, rather than network …

[PDF][PDF] MQTT-RD: A MQTT based Resource Discovery for Machine to Machine Communication.

EM Pereira, R Pinto, JPC dos Reis… - IoTBDS, 2019 - pdfs.semanticscholar.org
The Internet of Things (IoT) is one of the key enablers for digital businesses and economic
growth. By interconnecting objects and people through diverse heterogeneous networks …