Title :
A new distributed localization algorithm for ZigBee wireless networks
Author :
Chen, J. ; Wu, X.J. ; Wen, P.Z. ; Ye, F. ; Liu, J.W.
Author_Institution :
Shenzhen Grad. Sch., Harbin Inst. of Technol., Shenzhen, China
Abstract :
Node localization becomes an exciting research area for recently large emergence of ZigBee based wireless applications, where received signal strength indication is adopted as a coarse but simple method on range measurement. Compared with the centralized approach, distributed algorithm that nodes locally calculate their own position coordinates can significantly reduce location-related network traffic; however, this is an intensive process. Unlike commercial digital-hardware-block based method used in CC2431, we propose a novel distributed algorithm that can be implemented based on common 8-bit MCU. In this algorithm, instead of dasialog-normalpsila, dasiapiecewise linearpsila path loss model was established, which let only linear operation when estimating range from RSSI. Besides, min-max method, other than maximum likelihood estimation method, was used to simplify coordinate calculation. Furthermore, ZigBee compatible sensor node modules were developed to carry out the contrast experiments, and results demonstrate the new method has close or even better precision compared with basic algorithm, but with lower cost.
Keywords :
distributed algorithms; maximum likelihood estimation; telecommunication computing; wireless sensor networks; ZigBee wireless networks; contrast experiments; coordinate calculation; distributed localization algorithm; location-related network traffic; log-normal path loss model; maximum likelihood estimation; node localization; piecewise linear path loss model; sensor node modules; signal strength indication; Area measurement; Costs; Distributed algorithms; Hardware; Maximum likelihood estimation; Mesh networks; Piecewise linear techniques; Wireless mesh networks; Wireless networks; ZigBee; Distributed algorithm; Node localization; RSSI; ZigBee;
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
Electronic_ISBN :
978-1-4244-2723-9
DOI :
10.1109/CCDC.2009.5192347