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

Authors: Tahir Emre Kalayci; Majid Bahrepour; Nirvana Meratnia; Paul J.M. Havinga

Addresses: Department of Computer Engineering, Celal Bayar University, Manisa 45140, Turkey ' Pervasive Systems Group, University of Twente, 7522 NB, Enschede, The Netherlands ' Pervasive Systems Group, University of Twente, 7522 NB, Enschede, The Netherlands ' Pervasive Systems Group, University of Twente, 7522 NB, Enschede, The Netherlands

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).

Keywords: artificial intelligence; brain emotional learning based intelligent controller; BELBIC; emotions; emotional learning; WSNs; wireless sensor networks.

DOI: 10.1504/IJAHUC.2017.083598

International Journal of Ad Hoc and Ubiquitous Computing, 2017 Vol.25 No.3, pp.133 - 146

Received: 18 Jul 2014
Accepted: 19 Jan 2015
Published online: 12 Apr 2017 *

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