Leveraging pervasive computing for ambient intelligence: A survey on recent advancements, applications and open challenges

被引:2
|
作者
Bimpas, Athanasios [1 ]
Violos, John [2 ]
Leivadeas, Aris [2 ]
Varlamis, Iraklis [1 ]
机构
[1] Harokopio Univ Athens, Dept Informat & Telemat, Omirou 9, Tavros 17778, Attica, Greece
[2] Ecole Technol Super, Dept Software & IT Engn, 1100 Notre Dame St W, Montreal, PQ H3C 1K3, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Artificial intelligence; Ubiquitous computing; Smart environments; Context awareness; Internet of Things; Data mining; ACTIVITY RECOGNITION; DATA FUSION; HEALTH-CARE; SENSOR DATA; SYSTEM; INTERNET; THINGS; ENERGY; MIDDLEWARE; CONTEXT;
D O I
10.1016/j.comnet.2023.110156
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The advent of pervasive computing and ambient intelligence has opened up new possibilities for the development of intelligent systems that can adapt to the needs of their users. This paper provides a comprehensive survey of recent advancements in this field, focusing on the different techniques, tools, and applications that have been developed to leverage the benefits of pervasive computing for ambient intelligence. We discuss the various challenges and opportunities that arise when designing such systems and provide a critical evaluation of the current state-of-the-art. In particular, we examine the role of machine learning, data analytics, and context awareness in the development of intelligent systems, and we investigate the impact of these technologies on the quality of life of their users. The paper also presents a discussion on the open challenges in this field, such as ensuring user privacy, security, and trust, designing effective user interfaces, and dealing with the complexity of large-scale systems. Finally, we conclude with an outlook on the future of ambient intelligence and its potential impact on society, and we highlight some of the emerging research directions that are likely to shape the field in the coming years.
引用
收藏
页数:26
相关论文
共 50 条
  • [21] Survey of Fog Computing: Fundamental, Network Applications, and Research Challenges
    Mukherjee, Mithun
    Shu, Lei
    Wang, Di
    IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2018, 20 (03): : 1826 - 1857
  • [22] Artificial Intelligence for Demystifying Blockchain Technology Challenges: A Survey of Recent Advances
    Olaniyi, Olayemi Mikail
    Alfa, Abraham Ayegba
    Umar, Buhari Ugbede
    FRONTIERS IN BLOCKCHAIN, 2022, 5
  • [23] Embedded Intelligence on FPGA: Survey, Applications and Challenges
    Seng, Kah Phooi
    Lee, Paik Jen
    Ang, Li Minn
    ELECTRONICS, 2021, 10 (08)
  • [24] Cognitive Computing: A Brief Survey and Open Research Challenges
    Octavio Gutierrez-Garcia, J.
    Lopez-Neri, Emmanuel
    3RD INTERNATIONAL CONFERENCE ON APPLIED COMPUTING AND INFORMATION TECHNOLOGY (ACIT 2015) 2ND INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND INTELLIGENCE (CSI 2015), 2015, : 328 - 333
  • [25] Recent Advancements in Nanobiosensors: Current Trends, Challenges, Applications, and Future Scope
    Kulkarni, Madhusudan B.
    Ayachit, Narasimha H.
    Aminabhavi, Tejraj M.
    BIOSENSORS-BASEL, 2022, 12 (10):
  • [26] Survey on Intelligence Edge Computing in 6G: Characteristics, Challenges, Potential Use Cases, and Market Drivers
    Al-Ansi, Ahmed
    Al-Ansi, Abdullah M.
    Muthanna, Ammar
    Elgendy, Ibrahim A.
    Koucheryavy, Andrey
    FUTURE INTERNET, 2021, 13 (05):
  • [27] Mobile Cloud Computing Paradigm: A Survey of Operational Concerns, Challenges and Open Issues
    Mora, Higinio
    Pujol, Francisco A.
    Ramirez-Gordillo, Tamai
    Jimeno, Antonio
    TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES, 2024, 35 (12):
  • [28] Software-Defined Edge Computing (SDEC): Principle, Open IoT System Architecture, Applications, and Challenges
    Hu, Pengfei
    Chen, Wai
    He, Chunming
    Li, Yiping
    Ning, Huansheng
    IEEE INTERNET OF THINGS JOURNAL, 2020, 7 (07): : 5934 - 5945
  • [29] A contemporary survey of recent advances in federated learning: Taxonomies, applications, and challenges
    Alsharif, Mohammed H.
    Kannadasan, Raju
    Wei, Wei
    Nisar, Kottakkaran Sooppy
    Abdel-Aty, Abdel-Haleem
    INTERNET OF THINGS, 2024, 27
  • [30] Artificial intelligence for prostate MRI: open datasets, available applications, and grand challenges
    Sunoqrot, Mohammed R. S.
    Saha, Anindo
    Hosseinzadeh, Matin
    Elschot, Mattijs
    Huisman, Henkjan
    EUROPEAN RADIOLOGY EXPERIMENTAL, 2022, 6 (01)