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羊群个体的定位信息是智能牧场进行各种牧场的基础,根据智能牧场和无线传感器网络的特点,获取羊群个体信息,首先需要通过无信标节点定位技术获得羊群个体在羊群中的相对位置。由于智能牧场中存在范围广、羊群活动的群体性强、精度要求较低、场地开阔和信息传输隔阻较少等特点,设计基于概率思想的无信标定位算法来进行羊群定位,并对羊群定位算法的具体实现流程进行分析,同时进行算法的仿真验证。
According to the characteristics of intelligent pasture and wireless sensor networks, obtaining the individual information of flocks, firstly, the positioning information of flocks is needed to obtain the individual herds in flocks through the non-beacon node localization technology relative position. Due to the existence of a wide range of intelligent pasture, herd group activities, low accuracy requirements, open space and less transmission and isolation of information, a beacon-free localization algorithm based on probability is designed to locate the flock The specific implementation process of the sheep positioning algorithm is analyzed, and the algorithm is verified by simulation.