Next generation IoT and its influence on decision-making. An illustrative case study

被引:6
作者
Neagu, Gabriel [1 ]
Ianculescu, Marilena [1 ]
Alexandru, Adriana [1 ]
Florian, Vladimir [1 ]
Radulescu, Constanta Zoie [1 ]
机构
[1] Natl Inst Res & Dev Informat ICI, 8-10 Averescu Ave, Bucharest 011455, Romania
来源
7TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT (ITQM 2019): INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT BASED ON ARTIFICIAL INTELLIGENCE | 2019年 / 162卷
关键词
Next generation IoT; edge computing; artificial intelligence; collaborative decision-making; health monitoring; smart ageing architecture; INTERNET; THINGS; CLOUD;
D O I
10.1016/j.procs.2019.12.023
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The next generation of IoT is characterized by the usage of smart solutions with embedded intelligence at the edge that relies on high connectivity, processing capabilities for edge devices and real-time analysis of information. This evolution is based on the convergence of some key ICT technologies like hyperconnectivity and new network architectures, edge computing, artificial intelligence, and blockchain. Considering the high expectations regarding the wide use in various domains of the new, interoperable IoT platforms built on these technologies, it is assumed that they will influence also the decision-making processes specific to these domains. The paper provides a short overview of these technologies with the aim to identify such potential influences. Then a case study in the field of health monitoring is presented, which consists in proposing a new version of a current pilot solution built around the sensing service offer integrator role. This new version is compliant with the RO-Smart Ageing architecture and will provide specific support for all three decision levels implemented in the medical unit practice, with special emphases on risk evaluation in real time monitoring regime. (C) 2020 The Authors. Published by Elsevier B.V.
引用
收藏
页码:555 / 561
页数:7
相关论文
共 16 条
  • [1] Aazam M, 2014, INT BHURBAN C APPL S, P414, DOI 10.1109/IBCAST.2014.6778179
  • [2] [Anonymous], 2018, 5 Trends Emerge in the Gartner Hype Cycle for Emerging Technologies
  • [3] [Anonymous], HYPE CYCLE INTERNET
  • [4] Bonomi F., 2012, Proceedings of the first edition of the MCC workshop on Mobile cloud computing, P13, DOI [DOI 10.1145/2342509.2342513, 10.1145/2342509.2342513]
  • [5] Diaz M, J NETWORK COMPUTER A, V67, P99
  • [6] Filip FG, 2017, AUTOMATION COLLABORA, V4
  • [7] Towards an IoT Platform with Edge Intelligence Capabilities
    Florian, Vladimir
    Neagu, Gabriel
    [J]. STUDIES IN INFORMATICS AND CONTROL, 2018, 27 (01): : 65 - 72
  • [8] Gutierrez C, IMPROVING SUPPLY CHA
  • [9] IoHT and Edge Computing, Warrants of Optimal Responsiveness of Monitoring Applications for Seniors. A Case Study
    Ianculescu, Marilena
    Alexandru, Adriana
    Nicolau, Nicolae-Dragos
    Neagu, Gabriel
    Bica, Ovidiu
    [J]. 2019 22ND INTERNATIONAL CONFERENCE ON CONTROL SYSTEMS AND COMPUTER SCIENCE (CSCS), 2019, : 655 - 661
  • [10] Neagu G., 2016, P 15 IEEE ROEDUNET C, P225, DOI DOI 10.1109/ROEDUNET.2016.7753240