A parameter centric service discovery framework for social digital twins in smart City

作者：Farhan Amin, Salabat Khan, Gyu Sang Choi, Muhammad Abid, Isabel de la Torre Díez, Elisabeth Caro Montero, Irene Delgado Noya · 发表于：Scientific Reports · 年份：2025 · DOI：10.1038/s41598-025-10423-1 · 被引用次数：2 · 研究领域：IoT and Edge/Fog Computing、Smart Cities and Technologies、Information Retrieval and Data Mining

In the contemporary digital era, the Internet of Things (IoT) and its applications have proliferated extensively, particularly within smart city environments, resulting in increased network traffic and raising the significance of efficient service discovery (SD) mechanisms. The social Internet of Things (SIoT) is an emerging paradigm that enables IoT devices to autonomously establish social relationships based on rules defined by their owners, thereby enhancing services through social relations. Things can interact with others; thus, the huge volume of traffic is increased. Each node or device could select an appropriate peer for the discovery of services, which is thus helpful for human beings. Although numerous service discovery and query processing models have been proposed in the recent literature. However, the existing state-of-the-art approaches often lack a comprehensive analysis of the parameters. Most traditional state-of-the-art models primarily focus on relationships or device similarity. Also neglecting the vital factors, for instance, query processing, efficiency, spatial-temporal dynamics, and service provisioning, etc. Thus, to solve this issue, this research proposes an exhaustive analysis of the main parameters needed to implement service discovery mechanisms for Social IoT and studies their relative importance based on a dataset of real objects. Based on the advanced parameters' selection, an efficient service discovery algorithm is proposed. The proposed mo...