Abstract:In view of the localization technology for mobile nodes in Wireless Sensor Networks (WSN) being more error and worse real-time, a new algorithm called Local Sampling and Filtering-Color Dynamic Localization (LSF- CDL) which filters the samples by the RGB difference sequences is proposed in this paper. Using the collected signals, LSF-CDL adopts the overlapping signal region of beacon nodes which is able to communicate with the mobile node directly as the new local sampling area. Also the proportion factor of distance is used to weight the average hop distance which optimizes the calculation of hop distance in CDL. By comparing the RGB difference sequences, samples can be filtered out. And the absolute values of the samples’ difference sequences are used as the weighted standards to calculate the coordinates of the mobile node. The simulation results show that the proposed algorithm has good localization effect, which can obviously reduce the location error by more than 33% compared to the other classic algorithms such as Efficient Color-theory based Dynamic Localization (E-CDL) and Monte Carlo Localization (MCL).
刘志华, 张双. WSN中局部采样滤波的新颜色移动节点定位法[J]. 电子与信息学报, 2014, 36(10): 2385-2392.
Liu Zhi-Hua, Zhang Shuang. A New Color Dynamic Localization for Mobile Nodes Based on Local Sampling and Filtering in WSN. , 2014, 36(10): 2385-2392.