基于模糊逻辑的WSN节点自定位算法

WSN Node Self-localization Algorithm Based on Fuzzy Logic

对无线传感器定位方法进行了研究,为节约成本、提高算法实用性和准确性,提出一种基于RSS和模糊逻辑的WSN节点自定位方法。该方法中一个移动未知节点采集信标节点广播的自身定位信息及其对应的RSS信号,构成已知条件,结合对信标节点的六边形网格划分、RSS向量唯一性定理和模糊数学中的测度贴近度计算方法设计实现了基于模糊逻辑的WSN节点自定位算法。理论分析表明,该算法能够以较低的计算开销满足WSN节点常规精度的定位要求,具有较好的实用性和准确性。

The localization method of wireless sensor network is discussed. Aiming at saving cost and improving its practicability and veracity,a method of wireless sensor network node self-localization based on RSS and fuzzy logic is proposed. In this method,an unknown mobile node collects self-localization information and corresponding RSS signals which beacon nodes broadcast to compose the precondition. By integrating hexagon grid partition of beacon node,uniqueness theorem of RSS vector and algorithm of approximate estimate from fuzzy mathematics,the method of wireless sensor node self-localization based on RSS and fuzzy logic is designed and realized.The theoretical analysis results show that the proposed method can provide fine location accuracy with a relative low computing cost,and it has higher practicality and veracity.