IoT-fog-based healthcare 4.0 system using blockchain technology

被引:15
作者
Ahmad, Israr [1 ]
Abdullah, Saima [1 ]
Ahmed, Adeel [1 ]
机构
[1] Islamia Univ Bahawalpur, Dept Comp Sci & IT, Punjab 63100, Pakistan
关键词
Healthcare; 4; 0; Message scheduling; Wireless sensor networks; FRAMEWORK; EDGE;
D O I
10.1007/s11227-022-04788-7
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Real-time tracking and surveillance of patients' health has become ubiquitous in the healthcare sector as a result of the development of fog, cloud computing, and Internet of Things (IoT) technologies. Medical IoT (MIoT) equipment often transfers health data to a pharmaceutical data center, where it is saved, evaluated, and made available to relevant stakeholders or users. Fog layers have been utilized to increase the scalability and flexibility of IoT-based healthcare services, by providing quick response times and low latency. Our proposed solution focuses on an electronic healthcare system that manages both critical and non-critical patients simultaneously. Fog layer is distributed into two halves: critical fog cluster and non-critical fog cluster. Critical patients are handled at critical fog clusters for quick response, while non-critical patients are handled using blockchain technology at non-critical fog cluster, which protects the privacy of patient health records. The suggested solution requires little modification to the current IoT ecosystem while decrease the response time for critical messages and offloading the cloud infrastructure. Reduced storage requirements for cloud data centers benefit users in addition to saving money on construction and operating expenses. In addition, we examined the proposed work for recall, accuracy, precision, and F-score. The results show that the suggested approach is successful in protecting privacy while retaining standard network settings. Moreover, suggested system and benchmark are evaluated in terms of system response time, drop rate, throughput, fog, and cloud utilization. Evaluated results clearly indicate the performance of proposed system is better than benchmark.
引用
收藏
页码:3999 / 4020
页数:22
相关论文
共 41 条
[1]  
Abu Al-haija Qasem, 2022, Soft Computing for Security Applications: Proceedings of ICSCS 2021. Advances in Intelligent Systems and Computing (1397), P27, DOI 10.1007/978-981-16-5301-8_3
[2]   EdgeMediChain: A Hybrid Edge Blockchain-Based Framework for Health Data Exchange [J].
Akkaoui, Raifa ;
Hei, Xiaojun ;
Cheng, Wenqing .
IEEE ACCESS, 2020, 8 :113467-113486
[3]   An Industrial IoT-Based Blockchain-Enabled Secure Searchable Encryption Approach for Healthcare Systems Using Neural Network [J].
Ali, Aitizaz ;
Almaiah, Mohammed Amin ;
Hajjej, Fahima ;
Pasha, Muhammad Fermi ;
Fang, Ong Huey ;
Khan, Rahim ;
Teo, Jason ;
Zakarya, Muhammad .
SENSORS, 2022, 22 (02)
[4]  
Almaiah MA, 2022, SENSORS-BASEL, V22, DOI 10.3390/s22041448
[5]   Introducing Fog Computing (FC) Technology to Internet of Things (IoT) Cloud-Based Anti-Theft Vehicles Solutions [J].
Alreshidi, Eissa Jaber .
INTERNATIONAL JOURNAL OF SYSTEM DYNAMICS APPLICATIONS, 2022, 11 (03)
[6]   RETRACTED: A remix IDE: smart contract-based framework for the healthcare sector by using Blockchain technology (Retracted article. See SEP, 2022) [J].
Amir Latif, Rana M. ;
Hussain, Khalid ;
Jhanjhi, N. Z. ;
Nayyar, Anand ;
Rizwan, Osama .
MULTIMEDIA TOOLS AND APPLICATIONS, 2022, 81 (19) :26609-26632
[7]   Multi-tier Blockchain Framework for IoT-EHRs Systems [J].
Badr, Shaimaa ;
Gomaa, Ibrahim ;
Abd-Elrahman, Emad .
9TH INTERNATIONAL CONFERENCE ON EMERGING UBIQUITOUS SYSTEMS AND PERVASIVE NETWORKS (EUSPN-2018) / 8TH INTERNATIONAL CONFERENCE ON CURRENT AND FUTURE TRENDS OF INFORMATION AND COMMUNICATION TECHNOLOGIES IN HEALTHCARE (ICTH-2018), 2018, 141 :159-166
[8]   An enhanced energy-efficient fuzzy-based cognitive radio scheme for IoT [J].
Chithaluru, Premkumar ;
Stephan, Thompson ;
Kumar, Manoj ;
Nayyar, Anand .
NEURAL COMPUTING & APPLICATIONS, 2022, 34 (21) :19193-19215
[9]   Using blockchain and semantic web technologies for the implementation of smart contracts between individuals and health insurance organizations [J].
Chondrogiannis, Efthymios ;
Andronikou, Vassiliki ;
Karanastasis, Efstathios ;
Litke, Antonis ;
Varvarigou, Theodora .
BLOCKCHAIN-RESEARCH AND APPLICATIONS, 2022, 3 (02)
[10]   Personal electronic healthcare records: What influences consumers to engage with their clinical data online? A literature review [J].
Crameri, Kellie-Anne ;
Maher, Lynne ;
Van Dam, Pieter ;
Prior, Sarah .
HEALTH INFORMATION MANAGEMENT JOURNAL, 2022, 51 (01) :3-12