【摘要】 针对传统基于垂直平分线的区域定位算法定位精度低、迭代次数多等缺点,提出一种改进的垂直平分线算法IMBLA。根据未知节点接收到的两锚节点接收信号强度指示(RSSI)值的比值,移动两锚点的垂直平分线,再确定待定位节点与垂直平分线的位置关系。该算法应用基于参考锚节点的高斯校正模型进行RSSI测距,包括有障碍物时的模型,不但适合各种环境,还能有效防止恶意攻击。仿真结果表明,与MBLA和IPAIT算法相比,IMBLA算法的定位精度和网络覆盖率较高。更多还原

【Abstract】 Traditional area location algorithms based on midnormal have low positioning accuracy and number of iterations. Aiming at these problems,an Improved M idnormal-based area Localization Algorithm( IM BLA) is proposed in this paper. According to the value ratio of Received Signal Strength Indicator( RSSI) of tw o anchor nodes w hich unknow n node receives,it moves tw o midnormals of the anchor,to determine the position relationship betw een a node and the midnormal. The algorithm does the RSSI raging using Gaussian correction model based on the reference anchor node,and puts forw ard the model in the presence of obstacles,w hich not only is suitable for a variety of environment,but also can effectively prevent malicious attacks. The simulation results show that,compared w ith M BLA and IPAIT algorithm,the IM BLA algorithm has higher positioning accuracy and coverage rate.更多还原