Title :
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
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;
Conference_Titel :
Wireless and Optical Communication Conference (WOCC), 2013 22nd
Conference_Location :
Chongqing
Print_ISBN :
978-1-4673-5697-8
DOI :
10.1109/WOCC.2013.6676324
