Automatic agent generation for IoT-based smart house simulator

Lee, W. and Cho, S. and Chu, P. and Vu, H. and Helal, Sumi and Song, W. and Jeong, Y.-S. and Cho, K. (2016) Automatic agent generation for IoT-based smart house simulator. Neurocomputing, 209. pp. 14-24. ISSN 0925-2312

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Abstract

In order to evaluate the quality of Internet of Things (IoT) environments in smart houses, large datasets containing interactions between people and ubiquitous environments are essential for hardware and software testing. Both testing and simulation require a substantial amount of time and volunteer resources. Consequently, the ability to simulate these ubiquitous environments has recently increased in importance. In order to create an easy-to-use simulator for designing ubiquitous environments, we propose a simulator and autonomous agent generator that simulates human activity in smart houses. The simulator provides a three-dimensional (3D) graphical user interface (GUI) that enables spatial configuration, along with virtual sensors that simulate actual sensors. In addition, the simulator provides an artificial intelligence agent that automatically interacts with virtual smart houses using a motivation-driven behavior planning method. The virtual sensors are designed to detect the states of the smart house and its living agents. The sensed datasets simulate long-term interaction results for ubiquitous computing researchers, reducing the testing costs associated with smart house architecture evaluation. © 2016 Elsevier B.V.

Item Type:
Journal Article
Journal or Publication Title:
Neurocomputing
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1700/1706
Subjects:
ID Code:
90084
Deposited By:
Deposited On:
30 Jan 2018 13:52
Refereed?:
Yes
Published?:
Published
Last Modified:
16 Nov 2020 07:50