Can wireless sensor networks be emotional? A survey of computational models of emotions and their applications for wireless sensor networks

Kalayci T. E., Bahrepour M., Meratnia N., Havinga P. J. M.

International Journal of Ad Hoc and Ubiquitous Computing, vol.25, no.3, pp.133-146, 2017 (SCI-Expanded, Scopus) identifier

  • Publication Type: Article / Article
  • Volume: 25 Issue: 3
  • Publication Date: 2017
  • Doi Number: 10.1504/ijahuc.2017.083598
  • Journal Name: International Journal of Ad Hoc and Ubiquitous Computing
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.133-146
  • Keywords: Artificial intelligence, BELBIC, Brain emotional learning based intelligent controller, Emotional learning, Emotions, Wireless sensor networks, WSNs
  • Manisa Celal Bayar University Affiliated: Yes

Abstract

Advances in psychology have revealed that emotions and rationality are interlinked and emotions are essential for rational behaviour and decision making. Therefore, integration of emotions with intelligent systems has become an important topic in engineering. The integration of emotions into intelligent systems requires computational models to generate emotions from external and internal sources. This paper first provides a survey of current computational models of emotion and their applications in engineering. Finally, it assesses potential of integrating emotions in wireless sensor networks (WSNs) by listing some use scenarios and by giving one model application. In this model application performance of a neural network for event detection has been improved using brain emotional learning based intelligent controller (BELBIC).