Toward intelligent machine-to-machine communications in smart grid

By Zubair Muhammad Fadlullah, Mostafa M. Fouda, Nei Kato, A. Takeuchi, Noboru Iwasaki, Y. Nozaki. IEEE Communications Magazine, 2011

550 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/fe3089813b853fcf92e5a25e7b96a32aa8b9f1ad

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In Biomedical Engineering

In Control and Systems Engineering

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Citations in the corpus

Machine-to-Machine Communications: Architectures, Standards and Applications (2012, background): “At present, some application cases for M2M have been conducted in [3][16][17][18][19][20].”
M2M Communications in 3GPP LTE/LTE-A Networks: Architectures, Service Requirements, Challenges, and Applications (2015, background): “To allocate radio resources efficiently while ensuring QoS requirement for reliable communications is an essential and challenging issue [76], [77].”
A Lightweight Message Authentication Scheme for Smart Grid Communications (2011, background): “Recently, Smart Grid (SG) is the buzz word, which has attracted attentions from engineers and researchers in bot h electric power and communication sectors [1]–[5].”
Smart Grid Communication: Its Challenges and Opportunities (2013, background): “The paper [16] provided extensive discussions of a number of existing communi-”
The role of communication systems in smart grids: Architectures, technical solutions and research challenges (2013, background): “A full-fledged network architecture for AMI systems is described in [170].”
Demand Response Management With Multiple Utility Companies: A Two-Level Game Approach (2014, background): “With the assistance of bi-directional communication structure, multiple residential users can connect together to form a NAN.”
Energy-Efficient Information and Communication Infrastructures in the Smart Grid: A Survey on Interactions and Open Issues (2015, background): “In a broader context, AMI is seen as an ideal application of Machine-to-Machine (M2M) communications while M2M communications will also become useful for selforganization of microgrids [35], remote control of home appliances, interaction of distributed renewable energy generation resources and so on”
Internet of Things-Aided Smart Grid: Technologies, Architectures, Applications, Prototypes, and Future Research Directions (2017, background): “, careful network design and optimal numbers of nodes and gateways [149].”
Security and Privacy in Fog Computing: Challenges (2017, methodology): “Furthermore, the authentication scheme based on Diffie-Hellman [56] key exchange is not worthy due to slow and extensive modulo computations.”
A Survey on Smart Grid Cyber-Physical System Testbeds (2017, background): “Wireless communication is one of the key aspects of realizing the smart grid visions using different technologies such as IEEE 802.11 based wireless LAN, IEEE 802.16 based WiMAX, 3G/4G cellular, LTE, ZigBee based on IEEE 802.15, and IEEE 802.20 based MobileFi [53], [54].”
Serving at the Edge: A Scalable IoT Architecture Based on Transparent Computing (2017, unknown): “IEEE Network • September/October 2017 105 [17] Z.”
A first look at cellular machine-to-machine traffic: large scale measurement and characterization (2012, background): “For instance, M2M devices have a much larger ratio of uplink to downlink tra.c volume, their tra.c typically exhibits di.erent diurnal patterns, they are more likely to generate synchronized tra.c resulting in bursty aggregate tra.c volumes, and are less mobile compared to smartphones.”
Toward Edge Intelligence: Multiaccess Edge Computing for 5G and Internet of Things (2020, methodology): “Solutions, such as Difﬁe–Hellman key exchange-based methods [185] and public-key infrastructure (PKI)-based methods [186], have been proposed for the authentication problem.”