Cognitive machine-to-machine communications: visions and potentials for the smart grid

By Yan Zhang, Rong Yu, Maziar M. Nekovee, Yi Liu, Shengli Xie, Stein Gjessing. IEEE Network, 2012

389 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/ccc4307fdc64ea9737afe2e3f6e89519f702ce23

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Sabita Maharjan
2. Liehuang Zhu
3. Keke Gai
4. Jiawen Kang
5. Ekram Hossain
6. Yulu Wu
7. Lei Xu
8. Mohsen Guizani

In Electrical and Electronic Engineering

1. Yan Zhang
2. Sabita Maharjan
3. Jiawen Kang
4. Ekram Hossain
5. Liehuang Zhu
6. Keke Gai
7. Yulu Wu
8. Lei Xu

Citations in the corpus

• Privacy-Preserving Support Vector Machine Training Over Blockchain-Based Encrypted IoT Data in Smart Cities (2019, background): “2901840 resulting a huge amount of data gathered from various IoT devices deployed in many city sectors, such as transportation, manufactory, energy transmission, and agriculture [1].”
• Permissioned Blockchain and Edge Computing Empowered Privacy-Preserving Smart Grid Networks (2019, background): “Multiple electric sources and various user types can be configured to be network nodes in a typical SGN [5], [6], [7].”
• Cognitive Machine-to-Machine Communications for Internet-of-Things: A Protocol Stack Perspective (2015, background): “Market size projections show a large potential for M2M market that is expected to grow rapidly in the next few years.”
• A Survey on Device-to-Device Communication in Cellular Networks (2013, background): “M2M communication [39]– [41] is another architecture that might benefit from D2D-like schemes.”
• Aggregated-Proofs Based Privacy-Preserving Authentication for V2G Networks in the Smart Grid (2012, background): “featured by real-time and two-way communications of electricity and information [1], [2].”
• M2M Communications in 3GPP LTE/LTE-A Networks: Architectures, Service Requirements, Challenges, and Applications (2015, background): “cations [74], [75] is particularly useful.”
• Task Offloading for Mobile Edge Computing in Software Defined Ultra-Dense Network (2018, background): “Therefore, future communication network not only needs to support wireless content access, but also offers the provisioning of computational offloading for UEs [6], [7], especially for mobile healthcare [8], smart grid [9], Internet of vehicles [10], intelligent services [11], etc.”
• Next Generation 5G Wireless Networks: A Comprehensive Survey (2016, background): “Major features of M2M communications involve automated data generation, processing, transfer and exchange between intelligent machines, with minimum human intervention [132].”
• Enabling Localized Peer-to-Peer Electricity Trading Among Plug-in Hybrid Electric Vehicles Using Consortium Blockchains (2017, background): “On one hand, nodes in smart grids can harvest energy from different renewable energy sources to promote greener smart grids [2].”
• Role-Dependent Privacy Preservation for Secure V2G Networks in the Smart Grid (2014, background): “power monitoring and dispatching for improving the demandresponse balance [1], [2].”
• Consortium Blockchain for Secure Energy Trading in Industrial Internet of Things (2018, background): “However, it is a great challenge for the industrial systems to satisfy the ever-increasing energy demands of IIoT applications, while IIoT nodes continue to grow in both numbers and performance requirements [4], [5].”