Ubiquitous Networks: A Need of Future World of Things

被引:0
|
作者
Mantri D.S. [1 ]
Pawar P.M. [1 ]
Kulkarni N.P. [1 ]
Prasad N.R. [1 ]
机构
[1] SIT Lonavala, BITS Pillani Dubai, SKNSCOE Pune, CTIF, Vehicleavatar Inc.
来源
Journal of ICT Standardization | 2021年 / 9卷 / 03期
关键词
6G; Cloud computing; Convergence and WISDOM; ICT; Internet of things (IoT); Ubiquitous networks;
D O I
10.13052/jicts2245-800X.933
中图分类号
学科分类号
摘要
With an exponential increase in the number of applications and user demand, it is essential to respond to the query of users with fast services and networks used. This is possible only by the use of ubiquitous networks supporting mass media communications. The integration of advanced technologies such as Communication, Navigation and Sensing Services (CONASENSE) and Human Bond Communications (HBC) takes care of sensing, services, data, speed, cooperation, content, and cost of communication. The combination of Data, Technology, and Media used for intelligent computation and communication over the internet could serve the purpose, and that's the urgent demand of growing networks marching towards a fusion of IoT and 5G leading to 6G. IoT with 5G will be the backbone of networks in the future generation network, adding the concept of virtualization at Anytime, Anywhere, Anything, and Anybody. The definition of ubiquitous technology considers it networked, wireless and mobile, to connect a more significant number of users and the world around them. The ubiquitous network connects the D2D, M2M, D2M and uses the ICT and Cloud-based technology to mitigate the QoS parameters. The paper's primary contribution is the proposal of 6G enabling technologies and use cases to demonstrate the need and integration of various prime techniques as IoT+5G+Cloud+AI/ML. The technology road map and proposed C6-WISDOM model illustrate the fundamentals of enabling future ubiquitous networks (6G). It also focuses on the critical requirements of 6G technology in support of ubiquitous networks and identifies the present technologies integrated to provide vertical sustainable wireless networking solutions. © 2021 River Publishers.
引用
收藏
页码:349 / 370
页数:21
相关论文
共 50 条
  • [1] Ubiquitous Networks, Ubiquitous Sensors: Issues of Security, Reliability and Privacy in the Internet of Things
    Losavio, Michael
    Elmaghraby, Adel
    Losavio, Antonio
    UBIQUITOUS NETWORKING, UNET 2018, 2018, 11277 : 331 - 343
  • [2] Future trend of broadband and ubiquitous networks
    Aoyama, Tomonori
    IDW/AD '05: PROCEEDINGS OF THE 12TH INTERNATIONAL DISPLAY WORKSHOPS IN CONJUNCTION WITH ASIA DISPLAY 2005, VOLS 1 AND 2, 2005, : 5 - 6
  • [3] Smart Ubiquitous Networks for future telecommunication environments
    Lee, Chae Sub
    Lee, Gyu Myoung
    Rhee, Woo Seop
    COMPUTER STANDARDS & INTERFACES, 2014, 36 (02) : 412 - 422
  • [4] Modeling and simulation techniques for future Internet ubiquitous world
    Kim, Jongsung
    Galis, Alex
    Chilamkurti, Naveen
    SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, 2012, 88 (10): : 1151 - 1151
  • [5] 25 Things You Need to Know About the Future
    Docksai, Rick
    FUTURIST, 2013, 47 (02) : 56 - 56
  • [6] Toward the Future World of Internet-of-Things
    Wu, Fang-Jing
    Solmaz, Guerkan
    Kovacs, Ernoe
    2018 GLOBAL INTERNET OF THINGS SUMMIT (GIOTS), 2018, : 377 - 382
  • [7] The importance of generalized bodily habits for a future world of ubiquitous computing
    Rosenberger, Robert
    AI & SOCIETY, 2013, 28 (03) : 289 - 296
  • [8] Internet of things for ubiquitous smart home systemInternet of things for ubiquitous smart home system
    Lokhande, D. G.
    Mohsin, Siddiqui Ahmed
    2017 1ST INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS AND INFORMATION MANAGEMENT (ICISIM), 2017, : 314 - 320
  • [9] Ubiquitous ID: Standards for Ubiquitous Computing and the Internet of Things
    Koshizuka, Noboru
    Sakamura, Ken
    IEEE PERVASIVE COMPUTING, 2010, 9 (04) : 98 - 101
  • [10] Analysis and Prospect of the Application of Wireless Sensor Networks in Ubiquitous Power Internet of Things
    Cao, Li
    Wang, Zhengzong
    Yue, Yinggao
    COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2022, 2022