基于K-邻居节点覆盖的物联网定位模型

针对传统基于接收信号强度的定位缺陷，提出一种新型的基于K-邻居节点覆盖的物联网定位模型.该模型分为选取邻居节点与定位两个阶段，未知节点先通过调整发射功率等级来选择最近的K个邻居节点，尽量减少远距离节点对定位的影响.定位阶段，未知节点通过与K个信标节点的接收信号强度来计算权重，通过加权求和算出未知节点的坐标.采用K-邻居节点误差的自校正方法对坐标进行补偿.该定位模型可有效的避免环境因素对定位的影响，且定位算法简单，避免复杂的计算.实验表明，该定位模型定位精度较高.

Location Model Based on K-Neighbor Node Coverage for IOT

In view of the traditional positioning defects based on received signal strength, a new K-NNC location algorithm is proposed for IOT, based on K- neighbor node coverage (K-NNC). K-NNC is divided into two stages, select neighbor nodes and positioning stage. In order to reduce the influence of long distance nodes on the positioning, by adjusting the transmit power to select the nearest K neighbor node. In positioning stage, the node calculates the weight by the received signal strength of the K beacon node. The coordinates of the nodes are calculated by the weighted sum. Using the self-correcting method the position coordinates are compensated. The K-NNC positioning model can effectively avoid the influence of environmental factors on the positioning, and the positioning algorithm is simple. Experiment shows the K-NNC positioning model positioning is highly accurate.