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Autonomous embedded fuzzy logic based wireless sensor network for indoor energy management

Feradyan, Anthony and Holmes, Violeta (2013) Autonomous embedded fuzzy logic based wireless sensor network for indoor energy management. In: Proceedings of Computing and Engineering Annual Researchers' Conference 2013 : CEARC'13. University of Huddersfield, Huddersfield, pp. 133-139. ISBN 9781862181212

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Abstract

The 2008 Climate Change Act requires a reduction in carbon emissions by 80% on 1990 levels by
2050. With the building sector contributing to 40 - 45% of all CO2 emissions in the UK, it is vital to address home and building energy management by making them more energy efficient, and ensure
that new buildings are designed and built with high levels of energy efficiency (Government 2013). Wireless Sensor Networks (WSN), due to their low cost and energy consumption, and robust
communications, present a promising solution for retro-fitting to existing buildings for optimal building energy consumption control. This paper discusses the main challenges in creating an autonomous WSN and proposes a solution using WSN technology, Fuzzy logic techniques and Agent Software system.

Item Type: Book Chapter
Uncontrolled Keywords: Wireless sensor network (WSN), building energy management system (BEMS), ambient intelligence, multi-agent system (MAS), fuzzy logic.
Subjects: T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
Schools: School of Computing and Engineering
School of Computing and Engineering > Computing and Engineering Annual Researchers' Conference (CEARC)
School of Computing and Engineering > High-Performance Intelligent Computing > High Performance Computing Research Group
Related URLs:
Depositing User: Sharon Beastall
Date Deposited: 18 Dec 2013 12:05
Last Modified: 02 Dec 2016 07:24
URI: http://eprints.hud.ac.uk/id/eprint/19377

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