Review of Machine to Machine Communication in Smart Grid

被引:0
|
作者
Dehalwar, Vasudev [1 ]
Kalam, Akhtar [1 ]
Kolhe, Mohan Lal [2 ]
Zayegh, Aladin [1 ]
机构
[1] Victoria Univ, Coll Engn & Sci, Melbourne, Vic 3011, Australia
[2] Univ Agder, Fac Engn & Sci, NO-4604 Kristiansand, Norway
关键词
smart grid; cognitive radio; real-time communication; machine to machine communication; MTC; NETWORKS; RADIO;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Machine to machine communication (M2M) is a communication architecture that enables heterogeneous devices to interact with each other without human intervention. Smart Grid (SG) is one of the many applications areas in the M2M communication. Smart Grid demands advanced communication infrastructure for two-way communications between devices deployed at various locations in energy generation, transmission, distribution and consumption. The billions of electronic devices connected to the Smart Grid pose a big challenge to grid communication. Therefore, a feasible solution to efficient M2M has to overcome challenges of energy efficiency of connected devices, interoperability, coverage area, interference, sleep/wake up time of devices, etc. This paper reviews the current research status in M2M communication, especially for Smart Grid. It also discusses the development of standards for M2M communication. Suitability of Cognitive Radio for Big Data communication in M2M communication network is also examined.
引用
收藏
页码:134 / 139
页数:6
相关论文
共 50 条
  • [1] Intelligent Machine to machine communication in Home area network for Smart grid
    Sahu, Narsingh
    Dehalwar, Vashudev
    2012 THIRD INTERNATIONAL CONFERENCE ON COMPUTING COMMUNICATION & NETWORKING TECHNOLOGIES (ICCCNT), 2012,
  • [2] Review on Interpretable Machine Learning in Smart Grid
    Xu, Chongchong
    Liao, Zhicheng
    Li, Chaojie
    Zhou, Xiaojun
    Xie, Renyou
    ENERGIES, 2022, 15 (12)
  • [3] Toward Intelligent Machine-to-Machine Communications in Smart Grid
    Fadlullah, Zubair Md.
    Fouda, Mostafa M.
    Kato, Nei
    Takeuchi, Akira
    Iwasaki, Noboru
    Nozaki, Yousuke
    IEEE COMMUNICATIONS MAGAZINE, 2011, 49 (04) : 60 - 65
  • [4] Smart Contracts for Machine-to-Machine Communication: Possibilities and Limitations
    Hanada, Yuichi
    Hsiao, Luke
    Levis, Philip
    2018 IEEE INTERNATIONAL CONFERENCE ON INTERNET OF THINGS AND INTELLIGENCE SYSTEM (IOTAIS), 2018, : 130 - 136
  • [5] Optimal Gateway Deployment in the Smart Grid Machine-to-Machine Networks
    Jiang Tingting
    Zhao Junhui
    2014 9TH INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND NETWORKING IN CHINA (CHINACOM), 2014, : 407 - 411
  • [6] Cognitive Machine-to-Machine Communications: Visions and Potentials for the Smart Grid
    Zhang, Yan
    Yu, Rong
    Nekovee, Maziar
    Liu, Yi
    Xie, Shengli
    Gjessing, Stein
    IEEE NETWORK, 2012, 26 (03): : 6 - 13
  • [7] Optimal Gateway Placement in the Smart Grid Machine-to-Machine Networks
    Liu, Qiang
    Leng, Supeng
    Mao, Yuming
    Zhang, Yan
    2011 IEEE GLOBECOM WORKSHOPS (GC WKSHPS), 2011, : 1173 - 1177
  • [8] A Secure Machine-to-Machine Wireless Communication Using DNP3 Protocol for Feeder Automation in Smart Grid
    Lekbich, Anass
    Belfqih, Abdelaziz
    Nazha, Cherkaoui
    Elmariami, Faissal
    Boukherouaa, Jamal
    Sabri, Omar
    Dazahra, Mohamed Nouh
    UBIQUITOUS NETWORKING, UNET 2017, 2017, 10542 : 275 - 286
  • [9] A Secure and Efficient Scheme for Machine-to-Machine Communications in Smart Grid
    Yan, Ye
    Qian, Yi
    Hu, Rose Qingyang
    2012 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2012,
  • [10] Securing the smart grid: A machine learning approach
    Ali, A. B. M. Shawkat
    Azad, Salahuddin
    Khorshed, Tanzim
    Green Energy and Technology, 2013, 132 : 169 - 198