关键词: 无线传感器网络, 定位, 粒计算

Abstract:  Received signal strength is one of ranging methods with low-power and low-cost, and used to estimate the location of nodes in wireless sensor network. The localization accuracy is affected by the time and space media, the fast algorithm is one of methods, which can improve the localization accuracy. The fast grid localization algorithm based on granular computing is proposed by forming the grid of localizing area. The localization problems are transformed into classification problems, and the granular computing classification algorithm is used to obtain the parameters related to the localization, which are used to estimate the locations of blind nodes. The experimental results show that grid localization algorithm based on granular computing can reduce the localization error and time consuming compared with localization by support vector machines.

Key words: Wireless Sensor Network, localization, granular computing