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Article type: Research Article
Authors: Shahi, Ahmada; * | Sulaiman, Md Nasira | Mustapha, Norwatia | Perumal, Thinagarana | Meimandi Parizi, Rezab
Affiliations: [a] Department Computer Science, Faculty Computer Science and Information Technology, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia. E-mails: [email protected], [email protected], [email protected], [email protected] | [b] School of Engineering and Computing Sciences, New York Institute of Technology, Nanjing Campus, China. E-mail: [email protected]
Correspondence: [*] Corresponding author. E-mail: [email protected].
Abstract: Intelligent buildings require various gadgets and sensors to automatically control the underlying environments with enhanced levels of comfort and efficiency. The ever-evolving technology and increasingly complex devices operated by heterogeneous systems have created challenges for intelligent building environments. Multi-platform type of heterogeneous systems functioning in intelligent building environments can lead to system failures with regard to deadlocks and unpredictable behavior, known as conflict occurrence. In this paper, we propose a new decision-making model with a weighted-priority scheduling algorithm that solves the conflicts to achieve efficient and sustainable communication response among heterogeneous systems. The experimental results demonstrate the enhanced response time of the model with conflict resolution. Furthermore, this model minimizes the external intervention to control the setting of such buildings.
Keywords: Conflict resolution, machine learning, priority scheduling, intelligent buildings
DOI: 10.3233/AIS-170462
Journal: Journal of Ambient Intelligence and Smart Environments, vol. 9, no. 6, pp. 689-705, 2017
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