Optimal Placement of Social Digital Twins in Edge IoT Networks

In next-generation Internet of Things (IoT) deployments, every object such as a wearable device, a smartphone, a vehicle, and even a sensor or an actuator will be provided with a digital counterpart (twin) with the aim of augmenting the physical object’s capabilities and acting on its behalf when in...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Olga Chukhno [verfasserIn] Nadezhda Chukhno [verfasserIn] Giuseppe Araniti [verfasserIn] Claudia Campolo [verfasserIn] Antonio Iera [verfasserIn] Antonella Molinaro [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	Internet of Things Social Internet of Things edge computing digital twin optimization problem

Übergeordnetes Werk:	In: Sensors - MDPI AG, 2003, 20(2020), 21, p 6181
Übergeordnetes Werk:	volume:20 ; year:2020 ; number:21, p 6181

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/s20216181

Katalog-ID:	DOAJ085262021

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language	English
source	In Sensors 20(2020), 21, p 6181 volume:20 year:2020 number:21, p 6181
sourceStr	In Sensors 20(2020), 21, p 6181 volume:20 year:2020 number:21, p 6181
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topic_facet	Internet of Things Social Internet of Things edge computing digital twin optimization problem Chemical technology
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authorswithroles_txt_mv	Olga Chukhno @@aut@@ Nadezhda Chukhno @@aut@@ Giuseppe Araniti @@aut@@ Claudia Campolo @@aut@@ Antonio Iera @@aut@@ Antonella Molinaro @@aut@@
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callnumber-first	T - Technology
author	Olga Chukhno
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topic_title	TP1-1185 Optimal Placement of Social Digital Twins in Edge IoT Networks Internet of Things Social Internet of Things edge computing digital twin optimization problem
topic	misc TP1-1185 misc Internet of Things misc Social Internet of Things misc edge computing misc digital twin misc optimization problem misc Chemical technology
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title	Optimal Placement of Social Digital Twins in Edge IoT Networks
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title_full	Optimal Placement of Social Digital Twins in Edge IoT Networks
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title_sort	optimal placement of social digital twins in edge iot networks
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title_auth	Optimal Placement of Social Digital Twins in Edge IoT Networks
abstract	In next-generation Internet of Things (IoT) deployments, every object such as a wearable device, a smartphone, a vehicle, and even a sensor or an actuator will be provided with a digital counterpart (twin) with the aim of augmenting the physical object’s capabilities and acting on its behalf when interacting with third parties. Moreover, such objects can be able to interact and autonomously establish social relationships according to the Social Internet of Things (SIoT) paradigm. In such a context, the goal of this work is to provide an optimal solution for the social-aware placement of IoT digital twins (DTs) at the network edge, with the twofold aim of reducing the latency (i) between physical devices and corresponding DTs for efficient data exchange, and (ii) among DTs of friend devices to speed-up the service discovery and chaining procedures across the SIoT network. To this aim, we formulate the problem as a mixed-integer linear programming model taking into account limited computing resources in the edge cloud and social relationships among IoT devices.
abstractGer	In next-generation Internet of Things (IoT) deployments, every object such as a wearable device, a smartphone, a vehicle, and even a sensor or an actuator will be provided with a digital counterpart (twin) with the aim of augmenting the physical object’s capabilities and acting on its behalf when interacting with third parties. Moreover, such objects can be able to interact and autonomously establish social relationships according to the Social Internet of Things (SIoT) paradigm. In such a context, the goal of this work is to provide an optimal solution for the social-aware placement of IoT digital twins (DTs) at the network edge, with the twofold aim of reducing the latency (i) between physical devices and corresponding DTs for efficient data exchange, and (ii) among DTs of friend devices to speed-up the service discovery and chaining procedures across the SIoT network. To this aim, we formulate the problem as a mixed-integer linear programming model taking into account limited computing resources in the edge cloud and social relationships among IoT devices.
abstract_unstemmed	In next-generation Internet of Things (IoT) deployments, every object such as a wearable device, a smartphone, a vehicle, and even a sensor or an actuator will be provided with a digital counterpart (twin) with the aim of augmenting the physical object’s capabilities and acting on its behalf when interacting with third parties. Moreover, such objects can be able to interact and autonomously establish social relationships according to the Social Internet of Things (SIoT) paradigm. In such a context, the goal of this work is to provide an optimal solution for the social-aware placement of IoT digital twins (DTs) at the network edge, with the twofold aim of reducing the latency (i) between physical devices and corresponding DTs for efficient data exchange, and (ii) among DTs of friend devices to speed-up the service discovery and chaining procedures across the SIoT network. To this aim, we formulate the problem as a mixed-integer linear programming model taking into account limited computing resources in the edge cloud and social relationships among IoT devices.
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title_short	Optimal Placement of Social Digital Twins in Edge IoT Networks
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