Results 11 to 20 of about 871,918 (286)
Damping Based Traffic Allocation in Wireless Machine-to-Machine Communications Networks
Machine-to-machine (M2M) technology that allows machine devices to communicate directly with each other without human intervention has emerged as a cutting-edge technology for next-generation communication.
Ruiguo Yu +4 more
doaj +1 more source
Industry 4.0 as a driving force is making huge strides, particularly in the manufacturing sector, where all integral components involved in the production processes are getting digitally interconnected.
Shams Ul Arfeen Laghari +4 more
doaj +1 more source
Data Deluge in Astrophysics: Photometric Redshifts as a Template Use Case [PDF]
Astronomy has entered the big data era and Machine Learning based methods have found widespread use in a large variety of astronomical applications. This is demonstrated by the recent huge increase in the number of publications making use of this new ...
A. J. Connolly +33 more
core +2 more sources
Cooperative Communications in Machine to Machine (M2M): Solutions, Challenges and Future Work
The application of cooperative communication (CC) in wireless networks makes it possible for the terminals to hear and aid the transfer of each other's information to the required destinations.
Juma W. Raymond +2 more
doaj +1 more source
Energy-Efficient Coalition Games with Incentives in Machine-to-Machine Communications
The need to achieve energy efficiency in machine-to-machine (M2M) communications has been a driver of the use of coalition game-based cooperative communication schemes.
Raymond W. Juma +2 more
doaj +1 more source
Machine-to-Machine (M2M) communications play a significant role in the Internet of Things (IoT). Cooperation of machines in M2M communications can improve network performance when the quality of connections between sources and their destinations is poor.
Monireh Allah Gholi Ghasri +3 more
doaj +1 more source
Self-management of machine-to-machine communications: a multi-models approach [PDF]
International audienceMachine-to-Machine (M2M) paradigm apply to systems composed by numerous devices sharing information and making cooperative decisions with little or no human intervention.
Eichler, Cédric +4 more
core +2 more sources
Machine-to-Machine Communications
This chapter presents the ongoing machine-to-machine (M2M) communication model and reviews the expected services, strengths, and limitations of these systems, showing what industry can use from this M2M paradigm.
Bourgeau, Thomas +2 more
openaire +3 more sources
Supporting simultaneous access of machine-type devices is a critical challenge in machine-to-machine (M2M) communications. In this paper, we propose an optimal scheme to dynamically adjust the Access Class Barring (ACB) factor and the number of random ...
Ning Li, Chao Cao, Cong Wang
doaj +1 more source
Network of Time-Multiplexed Optical Parametric Oscillators as a Coherent Ising Machine [PDF]
Finding the ground states of the Ising Hamiltonian [1] maps to various combinatorial optimization problems in biology, medicine, wireless communications, artificial intelligence, and social network.
Byer, Robert L. +4 more
core +3 more sources

