Exploiting smart e-Health gateways at the edge of healthcare Internet-of-Things: A fog computing approach

Rahmani, Amir M.; Gia, Tuan Nguyen; Negash, Behailu; Anzanpour, Arman; Azimi, Iman; Jiang, Mingzhe; Liljeberg, Pasi

doi:10.1016/j.future.2017.02.014

Cited by 936 publications

(468 citation statements)

References 20 publications

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“…Recently, fog computing framework has been more and more popular in IoT applications [26][27][28][29]. In [30], a mobile WSN is applied to intrusion detection, and fog computing is applied to improve the network performance.…”

Section: Related Workmentioning

confidence: 99%

Boundary Region Detection for Continuous Objects in Wireless Sensor Networks

Zhang

Wang

Meng

et al. 2018

Wireless Communications and Mobile Computing

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Industrial Internet of Things has been widely used to facilitate disaster monitoring applications, such as liquid leakage and toxic gas detection. Since disasters are usually harmful to the environment, detecting accurate boundary regions for continuous objects in an energy-efficient and timely fashion is a long-standing research challenge. This article proposes a novel mechanism for continuous object boundary region detection in a fog computing environment, where sensing holes may exist in the deployed network region. Leveraging sensory data that have been gathered, interpolation algorithms have been applied to estimate sensory data at certain geographical locations, in order to estimate a more accurate boundary line. To examine whether estimated sensory data reflect that fact, mobile sensors are adopted to traverse these locations for gathering their sensory data, and the boundary region is calibrated accordingly. Experimental evaluation shows that this technique can generate a precise object boundary region with certain time constraints, and the network lifetime can be prolonged significantly.

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Section: Related Workmentioning

confidence: 99%

Boundary Region Detection for Continuous Objects in Wireless Sensor Networks

Zhang

Wang

Meng

et al. 2018

Wireless Communications and Mobile Computing

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“…Cloud computing ensures processing, storage and retrieval of patients' private information in secure and reliable way [2] [8]. Fog computing is an emerging technology, already being deployed successfully can be exploited in real-time applications that requires low latency performance such as healthcare [9] [10]. Recently healthcare frameworks to enhance performance in terms of latency have been proposed where fog layer works in collaboration with cloud support [11].…”

Section: Literature Surveymentioning

confidence: 99%

Fog and Cloud Computing based Smart Healthcare: A Framework

Biswas¹

2018

IJCA

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Current era of smart and green enabling technologies makes smart city and its applications realizable. Smart healthcare is indispensable in a smart city to make citizens' life easy and comfortable. Advancement in internet-of-things, cloud computing, big data, machine learning etc. lead to successful healthcare monitoring and support. Such application demands stringent low latency performance along with other requirements. To facilitate this strict delay limitation specifically in emergency or critical health condition that needs quick response, fog computing can be exploited. Fog computing ensures processing of data closer to its origin thus reducing communication delay and network congestion hence quick feedback in case if an emergency has been identified by processing health data at fog devices. Fog layer does screening of health data based on threshold value or rate at fog layer and if emergency is identified then data is directly sent to doctor/caregiver otherwise data is sent to cloud layer for further processing, storage, offline access etc. An architecture, flowchart and algorithm have been framed to detail working of the proposed framework. General TermsInternet-of-things, smart healthcare et.al.

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“…It exploits the property of a sensible gateway in fog computing for critical and security services-associated organization. IoT technologies for healthcare achieve standardized medical care [31] that is frequently improved by further automating the tasks that can be performed without human interaction. In this experience, IoT-based healthcare permits remote monitoring and management of large amounts of medical data using cloud services.…”

Section: Literature Reviewmentioning

confidence: 99%

Secure Authentication and Prescription Safety Protocol for Telecare Health Services Using Ubiquitous IoT

et al. 2017

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Internet-of-Things (IoT) include a large number of devices that can communicate across different networks. Cyber-Physical Systems (CPS) also includes a number of devices connected to the internet where wearable devices are also included. Both systems enable researchers to develop healthcare systems with additional intelligence as well as prediction capabilities both for lifestyle and in hospitals. It offers as much persistence as a platform to ubiquitous healthcare by using wearable sensors to transfer the information over servers, smartphones, and other smart devices in the Telecare Medical Information System (TMIS). Security is a challenging issue in TMIS, and resourceful access to health care services requires user verification and confidentiality. Existing schemes lack in ensuring reliable prescription safety along with authentication. This research presents a Secure Authentication and Prescription Safety (SAPS) protocol to ensure secure communication between the patient, doctor/nurse, and the trusted server. The proposed procedure relies upon the efficient elliptic curve cryptosystem which can generate a symmetric secure key to ensure secure data exchange between patients and physicians after successful authentication of participants individually. A trusted server is involved for mutual authentication between parties and then generates a common key after completing the validation process. Moreover, the scheme is verified by doing formal modeling using Rubin Logic and validated using simulations in NS-2.35. We have analyzed the SAPS against security attacks, and then performance analysis is elucidated. Results prove the dominance of SAPS over preliminaries regarding mutual authentication, message integrity, freshness, and session key management and attack prevention.

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Exploiting smart e-Health gateways at the edge of healthcare Internet-of-Things: A fog computing approach

Cited by 936 publications

References 20 publications

Boundary Region Detection for Continuous Objects in Wireless Sensor Networks

Boundary Region Detection for Continuous Objects in Wireless Sensor Networks

Fog and Cloud Computing based Smart Healthcare: A Framework

Secure Authentication and Prescription Safety Protocol for Telecare Health Services Using Ubiquitous IoT

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