Trust Enforced Computational Offloading for Health Care Applications in Fog Computing

Internet of Things (IoT) is a network of internet connected devices that generates huge amount of data every day. The usage of IoT devices such as smart wearables, smart phones, smart cities are increasing in the linear scale. Health care is one of the primary applications today that uses IoT device...

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Vydáno v:Wireless personal communications Ročník 119; číslo 2; s. 1369 - 1386
Hlavní autoři: Meena, V., Gorripatti, Meghana, Suriya Praba, T.
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Springer US 2021
Springer Nature B.V
Témata:
Algorithms
Cloud computing
Communications Engineering
Computation offloading
Computer Communication Networks
Electronic devices
Engineering
Health care
Internet of Things
Network latency
Networks
Polytetrafluoroethylene
Remote monitoring
Response time
Signal,Image and Speech Processing
Smartphones
Trust
Trustworthiness
Fog computing
Health care
Response time
Trusted node identification
Computational offloading
ISSN:0929-6212, 1572-834X
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Shrnutí:Internet of Things (IoT) is a network of internet connected devices that generates huge amount of data every day. The usage of IoT devices such as smart wearables, smart phones, smart cities are increasing in the linear scale. Health care is one of the primary applications today that uses IoT devices. Data generated in this application may need computation, storage and data analytics operations which requires resourceful environment for remote patient health monitoring. The data related with health care applications are primarily private and should be readily available to the users. Enforcing these two constraints in cloud environment is a hard task. Fog computing is an emergent architecture for providing computation, storage, control and network services within user’s proximity. To handle private data, the processing elements should be trustable entities in Fog environment. In this paper we propose novel Trust Enforced computation ofFLoading technique for trust worthy applications using fOg computiNg (TEFLON). The proposed system comprises of two algorithms namely optimal service offloader and trust assessment for addressing security and trust issues with reduced response time. And the simulation results show that proposed TEFLON framework improves success rate of fog collaboration with reduced average latency for delay sensitive applications and ensures trust for trustworthy applications.
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ISSN:0929-6212
1572-834X
DOI:10.1007/s11277-021-08285-7