Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/650858
Title: Front-end intelligence for large-scale application-oriented internet-of-things
Authors: Ahmed Bader;Hakim Ghazzai;Abdullah Kadri;Mohamed-Slim Alouini
subject: fog computing|Internet of things (IoT)|administrative domains|edge computing|collaboration and socialization|software-defined architectures|front-end intelligence
Year: 2016
Publisher: IEEE
Abstract: The Internet-of-things (IoT) refer to the massive integration of electronic devices, vehicles, buildings, and other objects to collect and exchange data. It is the enabling technology for a plethora of applications touching various aspects of our lives, such as healthcare, wearables, surveillance, home automation, smart manufacturing, and intelligent automotive systems. Existing IoT architectures are highly centralized and heavily rely on a back-end core network for all decision-making processes. This may lead to inefficiencies in terms of latency, network traffic management, computational processing, and power consumption. In this paper, we advocate the empowerment of front-end IoT devices to support the back-end network in fulfilling end-user applications requirements mainly by means of improved connectivity and efficient network management. A novel conceptual framework is presented for a new generation of IoT devices that will enable multiple new features for both the IoT administrators as well as end users. Exploiting the recent emergence of software-defined architecture, these smart IoT devices will allow fast, reliable, and intelligent management of diverse IoT-based applications. After highlighting relevant shortcomings of the existing IoT architectures, we outline some key design perspectives to enable front-end intelligence while shedding light on promising future research directions.
Description: 
URI: http://localhost/handle/Hannan/135578
http://localhost/handle/Hannan/650858
ISSN: 2169-3536
volume: 4
Appears in Collections:2016

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Title: Front-end intelligence for large-scale application-oriented internet-of-things
Authors: Ahmed Bader;Hakim Ghazzai;Abdullah Kadri;Mohamed-Slim Alouini
subject: fog computing|Internet of things (IoT)|administrative domains|edge computing|collaboration and socialization|software-defined architectures|front-end intelligence
Year: 2016
Publisher: IEEE
Abstract: The Internet-of-things (IoT) refer to the massive integration of electronic devices, vehicles, buildings, and other objects to collect and exchange data. It is the enabling technology for a plethora of applications touching various aspects of our lives, such as healthcare, wearables, surveillance, home automation, smart manufacturing, and intelligent automotive systems. Existing IoT architectures are highly centralized and heavily rely on a back-end core network for all decision-making processes. This may lead to inefficiencies in terms of latency, network traffic management, computational processing, and power consumption. In this paper, we advocate the empowerment of front-end IoT devices to support the back-end network in fulfilling end-user applications requirements mainly by means of improved connectivity and efficient network management. A novel conceptual framework is presented for a new generation of IoT devices that will enable multiple new features for both the IoT administrators as well as end users. Exploiting the recent emergence of software-defined architecture, these smart IoT devices will allow fast, reliable, and intelligent management of diverse IoT-based applications. After highlighting relevant shortcomings of the existing IoT architectures, we outline some key design perspectives to enable front-end intelligence while shedding light on promising future research directions.
Description: 
URI: http://localhost/handle/Hannan/135578
http://localhost/handle/Hannan/650858
ISSN: 2169-3536
volume: 4
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7491206.pdf16.35 MBAdobe PDFThumbnail
Preview File
Title: Front-end intelligence for large-scale application-oriented internet-of-things
Authors: Ahmed Bader;Hakim Ghazzai;Abdullah Kadri;Mohamed-Slim Alouini
subject: fog computing|Internet of things (IoT)|administrative domains|edge computing|collaboration and socialization|software-defined architectures|front-end intelligence
Year: 2016
Publisher: IEEE
Abstract: The Internet-of-things (IoT) refer to the massive integration of electronic devices, vehicles, buildings, and other objects to collect and exchange data. It is the enabling technology for a plethora of applications touching various aspects of our lives, such as healthcare, wearables, surveillance, home automation, smart manufacturing, and intelligent automotive systems. Existing IoT architectures are highly centralized and heavily rely on a back-end core network for all decision-making processes. This may lead to inefficiencies in terms of latency, network traffic management, computational processing, and power consumption. In this paper, we advocate the empowerment of front-end IoT devices to support the back-end network in fulfilling end-user applications requirements mainly by means of improved connectivity and efficient network management. A novel conceptual framework is presented for a new generation of IoT devices that will enable multiple new features for both the IoT administrators as well as end users. Exploiting the recent emergence of software-defined architecture, these smart IoT devices will allow fast, reliable, and intelligent management of diverse IoT-based applications. After highlighting relevant shortcomings of the existing IoT architectures, we outline some key design perspectives to enable front-end intelligence while shedding light on promising future research directions.
Description: 
URI: http://localhost/handle/Hannan/135578
http://localhost/handle/Hannan/650858
ISSN: 2169-3536
volume: 4
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7491206.pdf16.35 MBAdobe PDFThumbnail
Preview File