Abstract

Technological innovations have enabled the realization of a utopian world where all objects of everyday life, as well as humans, are interconnected to form an “Internet of Things (IoT).” These connected technologies and IoT solutions have led to the emergence of smart cities where all components are converted into a connected smart ecosystem. IoT has envisioned several areas of smart cities including the modern healthcare environment like real-time monitoring, patient information management, ambient-assisted living, ambient-intelligence, anomaly detection, and accelerated sensing. IoT has also brought a breakthrough in the medical domain by integrating stake holders, medical components, and hospitals to bring about holistic healthcare management. The healthcare domain is already witnessing promising IoT-based solutions ranging from embedded mobile applications to wearable devices and implantable gadgets. However, with all these exemplary benefits, there is a need to ensure the safety and privacy of the patient’s personal and medical data communicated to and from the connected devices and systems. For a smart city, it is pertinent to have an accessible, effective, and secure healthcare system for its inhabitants. This paper discusses the various elements of technology-enabled healthcare and presents a privacy-preserved and secure “Smart Medical System (SMS)” framework for the smart city ecosystem. For providing real-time analysis and responses, this paper proposes to use the concept of secured Mobile Edge Computing (MEC) for performing critical time-bound computations on the edge itself. In order to protect the medical and personal data of the patients and to make the data tamper-proof, the concept of blockchain has been used. Finally, this paper highlights the ways to capture and store the medical big data generated from IoT devices and sensors.

Highlights

  • The amalgamation of computer science, electronics, and other related technologies has created a synergistic relationship leading to the birth of one of the most prominent technologies branded as the “Internet of Things (IoT)” [1]

  • There are several security vulnerabilities associated with the classical mobile edge computing paradigm that can affect the edge devices and gain access to the data and information, this paper proposes to implement the OAuth 2.0 protocol, twofish cryptographic approach, and blockchain technology to safeguard the system against such attacks

  • The proposed framework combines the three modern-day technologies IoT, cloud computing, and edge computing to facilitate efficient medical services. This is helpful in critical cases that require 24 × 7 monitoring of the patients that is otherwise difficult with manual monitoring

Read more

Summary

Introduction

The amalgamation of computer science, electronics, and other related technologies has created a synergistic relationship leading to the birth of one of the most prominent technologies branded as the “Internet of Things (IoT)” [1]. These modern-day technologies have their impact on all aspects of human lives including the way they live and their surrounding environment. As IoT-based environments allow human interaction with the physical world objects and entities, it has found its applications in almost all spheres of a smart city ecosystem. One such application area that has grown in recent years is healthcare. The growth of ICT and related technologies has led to the emergence of a smart healthcare ecosystem where patients, doctors, medical equipment, and hospitals are interconnected to create a smart medical information system. Paradigm [8,9] for processing the data on the edges of the network in close vicinity to the origin of the data and increase the performance and scalability of the entire system

Paper Organization
Main Contributions
Need for Transition from Cloud to Edge in a Smart City Ecosystem
Security Vulnerabilities in Mobile Edge Computing
Related Works
Overview and Architecture
Components of SMS
Threenetwork
Role of IoT in SMS
Data Analytics in SMS
Role of MEC in the Proposed SMS
Conclusions and Future Scope
Findings
A Survey based on
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call