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

fYear

2013

fDate

13-14 Sept. 2013

Firstpage

1

Lastpage

6

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Automation and Computing (ICAC), 2013 19th International Conference on

Conference_Location

London

Type

conf

Filename

6662013