Title :
Fuzzy logic based localisation in wireless sensor networks for disaster environments
Author :
Gu, Shuang ; Yue, Yong ; Maple, Carsten ; Wu, Chengdong
Author_Institution :
Dept. of Comput. Sci. & Technol., Univ. of Bedfordshire, Luton, UK
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.
Keywords :
disasters; fuzzy logic; micromechanical devices; sensor placement; wireless sensor networks; MEMS; PFRL; RF technology; WSN; disaster environments; disaster recovery; fuzzy logic based localisation; microelectromechanical systems; probabilistic fuzzy logic based range-free localisation algorithm; radiofrequency technology; wireless sensor networks; Accuracy; Algorithm design and analysis; Fuzzy logic; Mathematical model; Probabilistic logic; Sensors; Wireless sensor networks; WSNs; fuzzy logic; localisatin;
Conference_Titel :
Automation and Computing (ICAC), 2012 18th International Conference on
Print_ISBN :
978-1-4673-1722-1
