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dc.contributor.authorGu, Shuangen_GB
dc.contributor.authorYue, Yongen_GB
dc.contributor.authorMaple, Carstenen_GB
dc.contributor.authorWu, Chengdongen_GB
dc.date.accessioned2013-02-28T09:50:41Z
dc.date.available2013-02-28T09:50:41Z
dc.date.issued2012
dc.identifier.citationGu, S., Yue, Y., Maple, C., Wu, C., (2012) "Fuzzy logic based localisation in wireless sensor networks for disaster environments," Automation and Computing (ICAC), 2012 18th International Conference on , pp.1-5, 7-8 Sept.en_GB
dc.identifier.isbn9781467317221
dc.identifier.urihttp://hdl.handle.net/10547/270632
dc.description.abstractProgress in micro-electromechanical systems (MEMS) and radio frequency (RF) technology has fostered the development of wireless sensor networks (WSNs). Although WSNs have been successfully applied in built environments, their applications and benefits have not been fully explored in the areas of disaster recovery and rescuing. In this paper, a novel probabilistic fuzzy logic based Range-free localisation algorithm (PFRL) is proposed. The proposed algorithm is compared with other range free localisation algorithms. Simulation results demonstrate the accurate and effectiveness of the proposed algorithm.
dc.language.isoenen
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCen_GB
dc.relation.urlhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=6330549en_GB
dc.subjectWSNsen_GB
dc.subjectfuzzy logicen_GB
dc.subjectlocalisationen_GB
dc.titleFuzzy logic based localisation in wireless sensor networks for disaster environmenten
dc.typeConference papers, meetings and proceedingsen
dc.contributor.departmentUniversity of Bedfordshireen_GB
html.description.abstractProgress in micro-electromechanical systems (MEMS) and radio frequency (RF) technology has fostered the development of wireless sensor networks (WSNs). Although WSNs have been successfully applied in built environments, their applications and benefits have not been fully explored in the areas of disaster recovery and rescuing. In this paper, a novel probabilistic fuzzy logic based Range-free localisation algorithm (PFRL) is proposed. The proposed algorithm is compared with other range free localisation algorithms. Simulation results demonstrate the accurate and effectiveness of the proposed algorithm.


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