Title :
A Mobile Node Filter Method in Wireless Sensor Network Based on Improved MH Particle
Author :
Sun Liying ; Ding Mingli ; Liu Zhen ; Zhang Zhongda
Author_Institution :
Dept. of Autom. Test & Control, Harbin Inst. of Technol., Harbin, China
Abstract :
An improved grouped particle filter algorithm is designed to pre-process the RSSI (received signal strength indicator) signal which includes plenty of background noise in wireless sensor network communication. This algorithm ensures the monotonic function relation between RSST value and distance of nodes. The coordinate space which was quantized by using RSSI value is used to describe the robot´s state and target position. The filtering and navigation calculation are executed through multiple nodes at the same time, which enhances the real time performance of the algorithm. The simulation results and measured data show the efficacy of the method.
Keywords :
mobile radio; mobile robots; particle filtering (numerical methods); radionavigation; wireless sensor networks; RSSI; WSN; grouped particle filter algorithm; improved MH particle; mobile node filter method; mobile robot navigation; received signal strength indicator; target position; wireless sensor network; Markov processes; Navigation; Particle filters; Robot kinematics; Wireless sensor networks; particle filter; received signal strength indication; wireless sensor network;
Conference_Titel :
Pervasive Computing Signal Processing and Applications (PCSPA), 2010 First International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-8043-2
Electronic_ISBN :
978-0-7695-4180-8
DOI :
10.1109/PCSPA.2010.47
