Social Internet of Things: vision, challenges, and trends View Full Text


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Article Info

DATE

2020-12-18

AUTHORS

Mozhgan Malekshahi Rad, Amir Masoud Rahmani, Amir Sahafi, Nooruldeen Nasih Qader

ABSTRACT

IoT describes a new world of billions of objects that intelligently communicate and interact with each other. One of the important areas in this field is a new paradigm-Social Internet of Things (SIoT), a new concept of combining social networks with IoT. SIoT is an imitation of social networks between humans and objects. Objects like humans are considered intelligent and social. They create their social network to achieve their common goals, such as improving functionality, performance, and efficiency and satisfying their required services. Our article’s primary purpose is to present a comprehensive review article from the SIoT system to analyze and evaluate the recent works done in this area. Therefore, our study concentrated on the main components of the SIoT (Architecture, Relation Management, Trust Management, web services, and information), features, parameters, and challenges. To gather enough information for better analysis, we have reviewed the articles published between 2011 and December 2019. The strengths and weaknesses of each article are examined, and effective evaluation parameters, approaches, and the most used simulation tools in this field are discussed. For this purpose, we provide a scientific taxonomy for the final SIoT structure based on the academic contributions we have studied. Ultimately we observed that the evaluation parameters are different in each element of the SIoT ecosystem, for example for Relation Management, scalability 29% and navigability 22% are the most concentrated metrics, in Trust Management, accuracy 25%, and resiliency 25% is more important, in the web service process, time 23% and scalability 16% are the most mentioned and finally in information processing, throughput and time 25% are the most investigated factor. Also, Java-based tools like Eclipse has the most percentage in simulation tools in reviewed literature with 28%, and SWIM has 13% of usage for simulation. More... »

PAGES

52

References to SciGraph publications

  • 2018-07-12. When Things Become Friends: A Semantic Perspective on the Social Internet of Things in SMART INNOVATIONS IN COMMUNICATION AND COMPUTATIONAL SCIENCES
  • 2017-03-29. Building a Unified Middleware Architecture for Security in IoT in RECENT ADVANCES IN INFORMATION SYSTEMS AND TECHNOLOGIES
  • 2013. Adaptive and Context-Aware Service Discovery for the Internet of Things in INTERNET OF THINGS, SMART SPACES, AND NEXT GENERATION NETWORKING
  • 2014-10-09. Evaluating link prediction methods in KNOWLEDGE AND INFORMATION SYSTEMS
  • 2014. Privacy-Preserving Security Framework for a Social-Aware Internet of Things in UBIQUITOUS COMPUTING AND AMBIENT INTELLIGENCE. PERSONALISATION AND USER ADAPTED SERVICES
  • 2012. Bonjour Contiki: A Case Study of a DNS-Based Discovery Service for the Internet of Things in AD-HOC, MOBILE, AND WIRELESS NETWORKS
  • 2017-05-22. Trust Management in the Social Internet of Things in WIRELESS PERSONAL COMMUNICATIONS
  • 2016-08-23. Trust Management in Social Internet of Things: A Survey in SOCIAL MEDIA: THE GOOD, THE BAD, AND THE UGLY
  • 2015-02-22. A Hybrid Approach Using Genetic Programming and Greedy Search for QoS-Aware Web Service Composition in TRANSACTIONS ON LARGE-SCALE DATA- AND KNOWLEDGE-CENTERED SYSTEMS XVIII
  • 2016-04-21. On the Research and Development of Social Internet of Things in INTERNET OF THINGS (IOT) IN 5G MOBILE TECHNOLOGIES
  • 2019-06-03. Trust-based recommendation systems in Internet of Things: a systematic literature review in HUMAN-CENTRIC COMPUTING AND INFORMATION SCIENCES
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    http://scigraph.springernature.com/pub.10.1186/s13673-020-00254-6

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