Fuzzy logic based localisation in wireless sensor networks for disaster environment
dc.contributor.author | Gu, Shuang | en_GB |
dc.contributor.author | Yue, Yong | en_GB |
dc.contributor.author | Maple, Carsten | en_GB |
dc.contributor.author | Wu, Chengdong | en_GB |
dc.date.accessioned | 2013-02-28T09:50:41Z | |
dc.date.available | 2013-02-28T09:50:41Z | |
dc.date.issued | 2012 | |
dc.identifier.citation | Gu, 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.isbn | 9781467317221 | |
dc.identifier.uri | http://hdl.handle.net/10547/270632 | |
dc.description.abstract | Progress 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.iso | en | en |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | en_GB |
dc.relation.url | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=6330549 | en_GB |
dc.subject | WSNs | en_GB |
dc.subject | fuzzy logic | en_GB |
dc.subject | localisation | en_GB |
dc.title | Fuzzy logic based localisation in wireless sensor networks for disaster environment | en |
dc.type | Conference papers, meetings and proceedings | en |
dc.contributor.department | University of Bedfordshire | en_GB |
html.description.abstract | Progress 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. |