research-article

A Cloud-Assisted Internet of Things Framework for Pervasive Healthcare in Smart City Environment

Authors:

Mohammad Mehedi Hassan,

Hanouf Saad Albakr,

Hmood Al-DossariAuthors Info & Claims

EMASC '14: Proceedings of the 1st International Workshop on Emerging Multimedia Applications and Services for Smart Cities

Pages 9 - 13

https://doi.org/10.1145/2661704.2661707

Published: 07 November 2014 Publication History

Abstract

Recently, cloud computing and Internet of Things (IoT) have made their entrance in the pervasive healthcare field in smart city environment. However, the integration of IoTs and cloud computing in healthcare domain impose several technical challenges that have not yet received enough attention from the research community. Some of these challenges are reliable transmission of vital sign data to cloud, dynamic resource allocation to facilitate seamless access and processing of IoT data, and effective data mining techniques. In this paper, we propose a framework to address above challenging issues. In addition, we discuss the possible solutions to tackle some of these challenges in smart city environment.

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Cited By

Hamdan SAlmajali SAyyash MBany Salameh HJararweh Y(2023)An intelligent edge-enabled distributed multi-task learning architecture for large-scale IoT-based cyber–physical systemsSimulation Modelling Practice and Theory10.1016/j.simpat.2022.102685122(102685)Online publication date: Jan-2023
https://doi.org/10.1016/j.simpat.2022.102685
Verma K(2022)Modeling Digital Healthcare Services Using NLP and IoT in Smart CitiesSmart Cities and Machine Learning in Urban Health10.4018/978-1-7998-7176-7.ch007(138-155)Online publication date: 2022
https://doi.org/10.4018/978-1-7998-7176-7.ch007
Ma QYang Y(2022)Analysis of Ecological Environment Evaluation and Coupled and Coordinated Development of Smart Cities Based on Multisource DataJournal of Sensors10.1155/2022/59594952022(1-9)Online publication date: 24-Mar-2022
https://doi.org/10.1155/2022/5959495
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Index Terms

A Cloud-Assisted Internet of Things Framework for Pervasive Healthcare in Smart City Environment
1. Computing methodologies
  1. Modeling and simulation
    1. Model development and analysis
      1. Modeling methodologies
2. General and reference
  1. Cross-computing tools and techniques
    1. Design

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Published In

cover image ACM Conferences

EMASC '14: Proceedings of the 1st International Workshop on Emerging Multimedia Applications and Services for Smart Cities

November 2014

50 pages

ISBN:9781450331265

DOI:10.1145/2661704

General Chairs:
M. Anwar Hossain
King Saud University, KSA
,
Abdulmotaleb El Saddik
University of Ottawa, Canada

Copyright © 2014 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGMM: ACM Special Interest Group on Multimedia

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 November 2014

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Research Center of the College of Computer and Information Sciences, King Saud University

Conference

MM '14

Sponsor:

SIGMM

MM '14: 2014 ACM Multimedia Conference

November 7, 2014

Florida, Orlando, USA

Acceptance Rates

EMASC '14 Paper Acceptance Rate 6 of 17 submissions, 35%;

Overall Acceptance Rate 6 of 17 submissions, 35%

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Cited By

Hamdan SAlmajali SAyyash MBany Salameh HJararweh Y(2023)An intelligent edge-enabled distributed multi-task learning architecture for large-scale IoT-based cyber–physical systemsSimulation Modelling Practice and Theory10.1016/j.simpat.2022.102685122(102685)Online publication date: Jan-2023
https://doi.org/10.1016/j.simpat.2022.102685
Verma K(2022)Modeling Digital Healthcare Services Using NLP and IoT in Smart CitiesSmart Cities and Machine Learning in Urban Health10.4018/978-1-7998-7176-7.ch007(138-155)Online publication date: 2022
https://doi.org/10.4018/978-1-7998-7176-7.ch007
Ma QYang Y(2022)Analysis of Ecological Environment Evaluation and Coupled and Coordinated Development of Smart Cities Based on Multisource DataJournal of Sensors10.1155/2022/59594952022(1-9)Online publication date: 24-Mar-2022
https://doi.org/10.1155/2022/5959495
Kumar NKaushal RPanda SBhardwaj S(2022)Impact of the Internet of Things and Clinical Decision Support System in HealthcareIoT and WSN based Smart Cities: A Machine Learning Perspective10.1007/978-3-030-84182-9_2(15-26)Online publication date: 31-May-2022
https://doi.org/10.1007/978-3-030-84182-9_2
Singh PKaur RDhiman GBojja G(2021) BOSS : A new QoS aware blockchain assisted framework for secure and smart healthcare as a service Expert Systems10.1111/exsy.1283840:4Online publication date: 8-Oct-2021
https://doi.org/10.1111/exsy.12838
Alsalibi AShambour MAbu-Hashem MShehab MShambour Q(2021)Internet of Things in Health Care: A SurveyHybrid Artificial Intelligence and IoT in Healthcare10.1007/978-981-16-2972-3_9(165-200)Online publication date: 23-Jul-2021
https://doi.org/10.1007/978-981-16-2972-3_9
Gupta DBhatt SGupta MKayode OTosun A(2020)Access Control Model for Google Cloud IoT2020 IEEE 6th Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelligent Data and Security (IDS)10.1109/BigDataSecurity-HPSC-IDS49724.2020.00044(198-208)Online publication date: May-2020
https://doi.org/10.1109/BigDataSecurity-HPSC-IDS49724.2020.00044
Hamdan SAlmajali SAyyash M(2020)Comparison study between conventional machine learning and distributed multi-task learning models2020 21st International Arab Conference on Information Technology (ACIT)10.1109/ACIT50332.2020.9300096(1-5)Online publication date: 28-Nov-2020
https://doi.org/10.1109/ACIT50332.2020.9300096
Wu WZhu DLiu WWu C(2020)Empirical Research on Smart City Construction and Public Health under Information and Communications TechnologySocio-Economic Planning Sciences10.1016/j.seps.2020.100994(100994)Online publication date: Dec-2020
https://doi.org/10.1016/j.seps.2020.100994
de la Cal EDaSilva AFáñez MVillar JSedano JSuárez V(2020)An Autonomous Fallers Monitoring Kit: Release 0.0Intelligent Systems Design and Applications10.1007/978-3-030-49342-4_28(287-297)Online publication date: 15-Aug-2020
https://doi.org/10.1007/978-3-030-49342-4_28
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