TY - GEN
T1 - A new distributed localization algorithm for zigbee wireless networks
AU - Chen, J.
AU - Wu, X. J.
AU - Wen, P. Z.
AU - Ye, F.
AU - Liu, J. W.
PY - 2009
Y1 - 2009
N2 - 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 'log-normal', 'piecewise linear' 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.
AB - 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 'log-normal', 'piecewise linear' 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.
KW - Distributed algorithm
KW - Node localization
KW - RSSI
KW - ZigBee
UR - https://www.scopus.com/pages/publications/70449490786
U2 - 10.1109/CCDC.2009.5192347
DO - 10.1109/CCDC.2009.5192347
M3 - 会议稿件
AN - SCOPUS:70449490786
SN - 9781424427239
T3 - 2009 Chinese Control and Decision Conference, CCDC 2009
SP - 4451
EP - 4456
BT - 2009 Chinese Control and Decision Conference, CCDC 2009
T2 - 2009 Chinese Control and Decision Conference, CCDC 2009
Y2 - 17 June 2009 through 19 June 2009
ER -