A systematic review on recommendation-based link selection strategy in the social internet of things network

The recent growth of Complex Networks (CN) has produced significant advancements in the study of the integration of these networks into the Internet of Things (IoT) environment. As a result, innovative approaches to representing, describing, and analyzing dynamic social relationships and interactions among a variety of objects have been developed. By offering a shared conceptual framework with the IoT scope, CNs can address the most significant IoT difficulties. To achieve this, the Social Internet of Things (SIoT) paradigm is presented. It is essential in the process of forming social relationships between IoT-deployed things. Any SIoT device can use its social links to access the desired service. The SIoT recommendation-based link selection strategies are examined in this survey using the Systematic Literature Review (SLR) approach. To group the research into areas where recommendation-based friendship selection is important, we provide a cutting-edge technological taxonomy. A thorough comparison of studies based on applied techniques is also given, as well as a synopsis of the major contributions of the evaluated publications. Finally, we describe new emerging challenges that are now being faced, as well as prospective research areas and unresolved problems.