CAJ | 학술논문

针对无线传感网络中每条链路衰减因子的不同，提出了一种基于RSSI测距的加权概率定位算法。该算法先将可能存在的未知节点区域划分成栅格，运用高斯噪声模拟路径衰减指数误差以构建信号传播概率模型，根据信号强度确定信标节点的权值。然后由概率模型和相应的权值赋予栅格不同的置信度，将置信度最大栅格的位置作为未知节点的坐标。最后根据网络的连通信息消除翻转歧义。实验表明，在相同的条件下，与MLS算法相比，该算法更接近真实环境，具有更高的定位精度。
침대무선전감망락중매조련로쇠감인자적불동，제출료일충기우RSSI측거적가권개솔정위산법。해산법선장가능존재적미지절점구역화분성책격，운용고사조성모의로경쇠감지수오차이구건신호전파개솔모형，근거신호강도학정신표절점적권치。연후유개솔모형화상응적권치부여책격불동적치신도，장치신도최대책격적위치작위미지절점적좌표。최후근거망락적련통신식소제번전기의。실험표명，재상동적조건하，여MLS산법상비，해산법경접근진실배경，구유경고적정위정도。
Concerning the problem that path loss exponent for each link is different , a weighted probabilistic localiza-tion algorithm is proposed based on RSSI.Firstly, the area where the unknown node may exist is divided into a num-ber of grids.Using Gaussian noise simulates path loss exponent error to construct the probability model of radio signal propagation, the beacon nodes’ weights are determined according to their signal strengths.Then, grids’ confidence degree is calculated according to probability models and beacon nodes’ weights, the coordinates of the grid which has greatest confidence degree as unknown node’s location.Finally, according to the network topology information elimi-nates flip ambiguity .The simulation experiments show that under the same conditions , compared with the MLS algo-rithm, the proposed algorithm is closer to the real environment and has higher positioning accuracy .