A comparative study of mobility models in the performance evaluation of MCL

Author

Feng Geng ; Shengjun Xue

Author_Institution

Coll. of Comput. Sci. & Technol., Wuhan Univ. of Technol., Wuhan, China

fYear

2013

fDate

16-18 May 2013

Firstpage

288

Lastpage

292

Abstract

Localization is an important issue in wireless sensor networks as the location information is typically useful for the applications such as routing, target tracking, environmental monitoring and disaster management. In order to determine whether the proposed localization scheme will be useful when implemented, it is necessary to evaluate its performance by means of simulation. The mobility model is an important simulation parameter in the performance evaluation of localization scheme. The paper presents a comparative simulation study of four mobility models such as RWM, RWPM, Gauss-Markov Mobility Model and RPGM in the performance evaluation of Monte Carlo Localization (MCL). The results indicate that the impact on the performance of localization is remarkably different when the nodes move in different mobility models. Therefore, it is important to choose a mobility model in the performance evaluation of localization scheme.

Keywords

Gaussian processes; Markov processes; Monte Carlo methods; sensor placement; wireless sensor networks; Gauss-Markov mobility model; MCL; Monte Carlo localization; RPGM; RWM; RWPM; comparative study; localization scheme; performance evaluation; random walk mobility model; random waypoint mobility model; reference point group mobility model; wireless sensor network; localization; mobility models; wireless sensor networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless and Optical Communication Conference (WOCC), 2013 22nd

Conference_Location

Chongqing

Print_ISBN

978-1-4673-5697-8

Type

conf

DOI

10.1109/WOCC.2013.6676324

Filename

6676324