WITHDRAWN: Towards sensor-cloud integration: A survey of enabling technologies and architectures

Liaqat, Misbah; Chang, Victor; Gani, Abdullah; Hamid, Siti Hafizah Ab; Ali, Rana Liaqat; Haseeb, Rana M.; Maqsood, Tahir

doi:10.1016/j.ijinfomgt.2016.05.023

Cited by 2 publications

(2 citation statements)

References 71 publications

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“…The state-of-the-art IoT eHealth devices can be classified into two main groups: conductance sensor [80], PPG [81], elderly monitor [82], [83], [84], [85], [86], medication management [87], [88], food contamination detection device [89], early warning system [90], [91]. • Virtual sensor: using software and mobile applications as well as eHealth services, virtual sensors capture patient's health data and contextual data from the environment [92], [93], [94], [95]. Virtual sensor includes many categories such as remote monitoring, remote consultation, diagnostic, patient health record, nutrition, and medical reference applications.…”

Section: A Iot Ehealth Device Layermentioning

confidence: 99%

Towards fog-driven IoT eHealth: Promises and challenges of IoT in medicine and healthcare

Farahani

Firouzi

Chang

et al. 2018

Future Generation Computer Systems

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795

371

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Internet of Things (IoT) offers a seamless platform to connect people and objects to one another for enriching and making our lives easier. This vision carries us from compute-based centralized schemes to a more distributed environment offering a vast amount of applications such as smart wearables, smart home, smart mobility, and smart cities. In this paper we discuss applicability of IoT in healthcare and medicine by presenting a holistic architecture of IoT eHealth ecosystem. Healthcare is becoming increasingly difficult to manage due to insufficient and less effective healthcare services to meet the increasing demands of rising aging population with chronic diseases. We propose that this requires a transition from the clinic-centric treatment to patient-centric healthcare where each agent such as hospital, patient, and services are seamlessly connected to each other. This patient-centric IoT eHealth ecosystem needs a multi-layer architecture: 1) device, 2) fog computing and 3) cloud to empower handling of complex data in terms of its variety, speed, and latency. This fog-driven IoT architecture is followed by various case examples of services and applications that are implemented on those layers. Those examples range from mobile health, assisted living, e-medicine, implants, early warning systems, to population monitoring in smart cities. We then finally address the challenges of IoT eHealth such as data management, scalability, regulations, interoperability, device-network-human interfaces, security, and privacy.

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Section: A Iot Ehealth Device Layermentioning

confidence: 99%

Towards fog-driven IoT eHealth: Promises and challenges of IoT in medicine and healthcare

Farahani

Firouzi

Chang

et al. 2018

Future Generation Computer Systems

Self Cite

795

371

View full text Add to dashboard Cite

show abstract

“…LEACH is the first homogeneous protocol that is deployed on SNs with the same initial energy. In this protocol, data transmission undergoes two phases, namely, setup and steady-state phases [ 23 , 39 ]. In the setup-phase, the nodes are randomly selected as CHs based on a certain probability, are generated using a CH selection algorithm as in LEACH [ 23 ], and are formed dynamically.…”

Section: Related Workmentioning

confidence: 99%

Distance-Based and Low Energy Adaptive Clustering Protocol for Wireless Sensor Networks

et al. 2016

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A wireless sensor network (WSN) comprises small sensor nodes with limited energy capabilities. The power constraints of WSNs necessitate efficient energy utilization to extend the overall network lifetime of these networks. We propose a distance-based and low-energy adaptive clustering (DISCPLN) protocol to streamline the green issue of efficient energy utilization in WSNs. We also enhance our proposed protocol into the multi-hop-DISCPLN protocol to increase the lifetime of the network in terms of high throughput with minimum delay time and packet loss. We also propose the mobile-DISCPLN protocol to maintain the stability of the network. The modelling and comparison of these protocols with their corresponding benchmarks exhibit promising results.

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WITHDRAWN: Towards sensor-cloud integration: A survey of enabling technologies and architectures

Cited by 2 publications

References 71 publications

Towards fog-driven IoT eHealth: Promises and challenges of IoT in medicine and healthcare

Towards fog-driven IoT eHealth: Promises and challenges of IoT in medicine and healthcare

Distance-Based and Low Energy Adaptive Clustering Protocol for Wireless Sensor Networks

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