Automated Service Search Model for the Social Internet of Things
作者机构：Department of Computer EngineeringGachon UniversitySeongnam13120Korea
出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)
年 卷 期：2022年第72卷第9期
页 面：5871-5888页
核心收录：
学科分类：0711[理学-系统科学] 08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）]
主 题：Social internet of things service discovery local navigability object discovery query generation model
摘 要：The social internet of things(SIoT)is one of the emerging paradigms that was proposed to solve the problems of network service discovery,navigability,and service *** SIoT aims to socialize the IoT devices and shape the interconnection between them into social interaction just like human *** IoT,an object can offer multiple services and different objects can offer the same services with different parameters and interest *** proliferation of offered services led to difficulties during service customization and service *** problem is known as service *** selection of suitable service that fits the requirements of applications and objects is a challenging *** address these issues,we propose an efficient automated query-based service search model based on the local network navigability concept for the *** the proposed model,objects can use information from their friends or friends of their friends while searching for the desired services,rather than exploring a global *** employ a centrality metric that computes the degree of importance for each object in the social IoT that helps in selecting neighboring objects with high centrality *** distributed nature of our navigation model results in high scalability and short navigation *** verified the efficacy of our model on a real-world SIoT-related *** experimental results confirm the validity of our model in terms of scalability,navigability,and the desired objects that provide services are determined quickly via the shortest path,which in return improves the service search process in the SIoT.
维普期刊数据库