caa a22 4500 605470146 CHVBK 20210128100326.0 cr unu---uuuuu 210128e20150801xx s 000 0 eng 10.1007/s00500-014-1421-7 doi (NATIONALLICENCE)springer-10.1007/s00500-014-1421-7 Task-oriented distributed data fusion in autonomous wireless sensor networks [Elektronische Daten] [Hongmei He, Zhenhuan Zhu, Erkki Mäkinen] The evolution of sensor node capabilities makes distributed data fusion possible in autonomous wireless sensor networks (WSNs) for various purposes. We propose a framework of task-oriented distributed data fusion, and investigate the assignments of heterogeneous sensors on nodes in the network, so that system performance can adapt the dynamics of tasks and the topology of self-organised networks. This work provides an approach to improving the fusion performance based on partial information from WSNs. Such a task-oriented autonomous wireless sensor network can be a part of the infrastructure for cloud computing through the Internet. A hierarchy of linguistic decision trees is used to map the distributed information fusion. The performance evaluation is done from five aspects, quality of estimates, computing scalability, real-time performance, data flow, and energy consumption. Four classic decision-making problems in the UCI machine learning repository are used as the virtual measures from WSNs to demonstrate the merits of the proposed system compared with the central fusion models. Springer-Verlag Berlin Heidelberg, 2014 Task-oriented distributed data fusion nationallicence Self-organised sensor networks nationallicence A hierarchy of LDTs nationallicence Optimisation of heterogeneous sensor assignments nationallicence Discrete differential genetic algorithm in wrapper nationallicence Performance evaluation nationallicence He Hongmei School of Aerospace, Transport and Manufacturing, Cranfield University, MK43 OAL, Cranfield, Bedfordshire, UK aut Zhu Zhenhuan Department of Mechanical Engineering, University of Manchester, Manchester, UK aut Mäkinen Erkki School of Information Sciences, University of Tampere, Tampere, Finland aut Soft Computing Springer Berlin Heidelberg 19/8(2015-08-01), 2305-2319 1432-7643 19:8<2305 2015 19 500 https://doi.org/10.1007/s00500-014-1421-7 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00500-014-1421-7 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- He Hongmei School of Aerospace, Transport and Manufacturing, Cranfield University, MK43 OAL, Cranfield, Bedfordshire, UK aut NATIONALLICENCE 700 1- Zhu Zhenhuan Department of Mechanical Engineering, University of Manchester, Manchester, UK aut NATIONALLICENCE 700 1- Mäkinen Erkki School of Information Sciences, University of Tampere, Tampere, Finland aut NATIONALLICENCE 773 0- Soft Computing Springer Berlin Heidelberg 19/8(2015-08-01), 2305-2319 1432-7643 19:8<2305 2015 19 500