Optimal Placement of Social Digital Twins in Edge IoT Networks

Sensors

Giuseppe Araniti¹  Nadezhda Chukhno¹  Claudia Campolo¹  Antonella Molinaro¹  Olga Chukhno¹  Antonio Iera² 

[1] DIIES Department, University Mediterranea of Reggio Calabria, 89100 Reggio Calabria, Italy;DIMES Department, University of Calabria, 87036 Rende, Italy;

关键词: Internet of Things;    Social Internet of Things;    edge computing;    digital twin;    optimization problem;   

DOI  :  10.3390/s20216181

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown