caa a22 4500 463206967 CHVBK 20180405153129.0 cr unu---uuuuu 170326e20070301xx s 000 0 eng 10.1007/s10462-008-9091-4 doi (NATIONALLICENCE)springer-10.1007/s10462-008-9091-4 Fuzzy-set-based decision making through energy-aware and utility agents within wireless sensor networks [Elektronische Daten] [S. Shen, G. O'Hare, M. O'Grady] Multi-agent systems (MAS) through their intrinsically distributed nature offer a promising software modelling and implementation framework for wireless sensor network (WSN) applications. WSNs are characterised by limited resources from a computational and energy perspective; in addition, the integrity of the WSN coverage area may be compromised over the duration of the network's operational lifetime, as environmental effects amongst others take their toll. Thus a significant problem arises—how can an agent construct an accurate model of the prevailing situation in order that it can make effective decisions about future courses of action within these constraints? In this paper, one popular agent architecture, the BDI architecture, is examined from this perspective. In particular, the fundamental issue of belief generation within WSN constraints using classical reasoning augmented with a fuzzy component in a hybrid fashion is explored in terms of energy-awareness and utility. Springer Science+Business Media B.V., 2008 Intelligent agents nationallicence BDI agents nationallicence Energy-aware agents nationallicence Utility agents nationallicence Distributed decision-making nationallicence Resource bounded reasoning nationallicence Sensor data fusion nationallicence Shen S. The Centre for Sensor Web Technologies, School of Computer Science & Informatics, University College Dublin, Belfield, Dublin 4, Ireland aut O'Hare G. The Centre for Sensor Web Technologies, School of Computer Science & Informatics, University College Dublin, Belfield, Dublin 4, Ireland aut O'Grady M. The Centre for Sensor Web Technologies, School of Computer Science & Informatics, University College Dublin, Belfield, Dublin 4, Ireland aut Artificial Intelligence Review Springer Netherlands 27/2-3(2007-03-01), 165-187 0269-2821 27:2-3<165 2007 27 10462 https://doi.org/10.1007/s10462-008-9091-4 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10462-008-9091-4 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Shen S. The Centre for Sensor Web Technologies, School of Computer Science & Informatics, University College Dublin, Belfield, Dublin 4, Ireland aut NATIONALLICENCE 700 1- O'Hare G. The Centre for Sensor Web Technologies, School of Computer Science & Informatics, University College Dublin, Belfield, Dublin 4, Ireland aut NATIONALLICENCE 700 1- O'Grady M. The Centre for Sensor Web Technologies, School of Computer Science & Informatics, University College Dublin, Belfield, Dublin 4, Ireland aut NATIONALLICENCE 773 0- Artificial Intelligence Review Springer Netherlands 27/2-3(2007-03-01), 165-187 0269-2821 27:2-3<165 2007 27 10462 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer