Title :
Challenges in mobile localisation in wireless sensor networks for disaster scenarios
Author :
Shuang Gu ; Yong Yue ; Maple, Carsten ; Chengdong Wu ; Beisheng Liu
Author_Institution :
Dept. of Comput. Sci. & Technol., Univ. of Bedfordshire, Luton, UK
Abstract :
In disaster scenarios, dynamic sensors are often used for localisation in wireless sensor networks (WSNs). However, most of the existing localisation algorithms are designed for the static nodes in WSNs. This paper presents a survey of localisation algorithms in mobile wireless sensor networks (MWSNs): robotics localisation algorithms, Monte Carlo based mobile localisation algorithms and range-free based mobile localisations. A comparison of the state-of-the art mobile localisation algorithms is conducted in this paper.
Keywords :
Monte Carlo methods; mobile radio; mobile robots; wireless sensor networks; MWSN; Monte Carlo based mobile localisation algorithms; WSN localisation; disaster scenario; mobile localisation; mobile wireless sensor network; range-free based localisation; robotics localisation algorithm; state-of-the dynamic sensor; Hidden Markov models; Mobile communication; Mobile computing; Robot sensing systems; Wireless sensor networks; Monte Carlo localisation; mobile wireless sensor networks; robotics localisation;
Conference_Titel :
Automation and Computing (ICAC), 2013 19th International Conference on
Conference_Location :
London