The Cluster Between Internet of Things and Social Networks: Review and Research Challenges

By A. M. Ortiz, Dina Hussein, Soochang Park, Son N. Han, Noël Crespi. IEEE Internet of Things Journal, 2014

359 citations recorded by the source corpus.

The cluster between Internet of Things (IoT) and social networks (SNs) enables the connection of people to the ubiquitous computing universe. In this framework, the information coming from the environment is provided by the IoT, and the SN brings the glue to allow human-to-device interactions. This paper explores the novel paradigm for ubiquitous computing beyond IoT, denoted by Social Internet of Things (SIoT). Although there have been early-stage studies in social-driven IoT, they merely use one or some properties of SIoT to improve a number of specific performance variables. Therefore, this paper first addresses a complete view on SIoT and key perspectives to envision the real ubiquitous computing. Thereafter, a literature review is presented along with the evolutionary history of IoT research from Intranet of Things to SIoT. Finally, this paper proposes a generic SIoT architecture and presents a discussion about enabling technologies, research challenges, and open issues.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/ad22947691329a54671c567d1ee3b62fdd0e3659

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

  1. Abdulmotaleb El Saddik
  2. Noël Crespi
  3. Kazi Masudul Alam
  4. Charith Perera
  5. Erdogan Dogdu
  6. A. Ozbayoglu
  7. Omer Berat Sezer
  8. Min Chen

In Computer Vision and Pattern Recognition

  1. Omer Berat Sezer
  2. Charith Perera
  3. A. Ozbayoglu
  4. Min Chen
  5. Abhishek Roy
  6. Sudip Misra
  7. Navrati Saxena
  8. Erdogan Dogdu

Citations in the corpus