SLAP: A Secure and Lightweight Authentication Protocol for machine-to-machine communication in industry 4.0

2022 ◽  
Vol 98 ◽  
pp. 107669
Author(s):  
Suryakanta Panda ◽  
Samrat Mondal ◽  
Neeraj Kumar
Keyword(s):  
Industry 4.0 ◽  
Authentication Protocol ◽  
Machine To Machine ◽  
Machine To Machine Communication ◽  
Lightweight Authentication ◽  
Machine Communication

Blockchain-based Machine-to-Machine Communication in the Industry 4.0 applied at the Industrial Mining Environment Charles

2020 ◽  
Author(s):  
Charles Tim Batista Garrocho ◽  
Emerson Klippel ◽  
Anderson Vieira Machado ◽  
Celio Marcio Soares Ferreira ◽  
Carlos Frederico Marcelo da Cunha Cavalcanti ◽  
...  
Keyword(s):  
Industry 4.0 ◽  
Machine To Machine ◽  
Mining Environment ◽  
Machine To Machine Communication ◽  
Industrial Mining ◽  
Machine Communication

On Multiple Access of a Large Number of Machine-Type Devices in Cellular Networks

2018 ◽  
pp. 105-114
Author(s):  
O. S. Galinina ◽  
S. D. Andreev ◽  
A. M. Tyurlikov
Keyword(s):  
Success Probability ◽  
Random Access ◽  
Time Interval ◽  
Short Time Interval ◽  
Control Mechanisms ◽  
Network Access ◽  
Smart Meters ◽  
Machine To Machine ◽  
Machine To Machine Communication ◽  
Machine Communication

Introduction: Machine-to-machine communication assumes data transmission from various wireless devices and attracts attention of cellular operators. In this regard, it is crucial to recognize and control overload situations when a large number of such devices access the network over a short time interval.Purpose:Analysis of the radio network overload at the initial network entry stage in a machine-to-machine communication system.Results: A system is considered that features multiple smart meters, which may report alarms and autonomously collect energy consumption information. An analytical approach is proposed to study the operation of a large number of devices in such a system as well as model the settings of the random-access protocol in a cellular network and overload control mechanisms with respect to the access success probability, network access latency, and device power consumption. A comparison between the obtained analytical results and simulation data is also offered. 

scholarly journals Energy Versus Throughput Optimisation for Machine-to-Machine Communication

Sensors ◽  
2020 ◽  
Vol 20 (15) ◽  
pp. 4122
Author(s):  
Emma Fitzgerald ◽  
Michał Pióro ◽  
Artur Tomaszewski
Keyword(s):  
Mesh Networks ◽  
Numerical Study ◽  
Minimum Energy ◽  
Mixed Integer ◽  
Energy Usage ◽  
Maximum Throughput ◽  
Machine To Machine ◽  
Machine To Machine Communication ◽  
Optimisation Model ◽  
Machine Communication

We investigate the trade-off between energy usage and (packet) throughput in wireless mesh networks performing machine-to-machine communication. For this we provide a novel mixed-integer programming formulation to maximise the throughput while maintaining minimal energy usage, together with an effective price-and-branch solution algorithm based on column generation. The resulting optimisation model is the main original contribution of the presented paper. We conducted a numerical study using network examples from 10 to 40 nodes, in which periodic sensor measurements are aggregated and disseminated to actuators. In almost all cases, we were able to achieve maximum throughput and minimum energy usage simultaneously, and in those cases where this was not possible, the costs incurred in one objective in order to achieve the other were typically low. The solution times for all network sizes were of the order of seconds, showing that our optimisation model is feasible to use in practice.

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