Can wireless sensor networks be emotional? A survey of computational models of emotions and their applications for wireless sensor networks. (2017)

• Record Type: Journal Article
• Authors: Kalayci, Tahir Emre; Bahrepour, Majid; Meratnia, Nirvana; Havinga, Paul J.M.
• Is Part Of: International journal of ad hoc and ubiquitous computing. Volume 25:Number 3(2017)
• Page Start: 133
• Page End: 146
• Publication Date: 2017
• Subjects: artificial intelligence -- brain emotional learning based intelligent controller -- BELBIC -- emotions -- emotional learning -- WSNs -- wireless sensor networks; Ubiquitous computing -- Periodicals; Embedded computer systems -- Periodicals; Electronic data processing -- Distributed processing -- Periodicals; Wireless communication systems -- Periodicals; Computer architecture -- Periodicals; 004.2
• Languages: English
• ISSNs: 1743-8225

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).