无线传感器网络节点自身定位算法研究

Research on node self-localization algorithm for wireless sensor networks

无线传感器网络中节点自身位置信息是实现其应用的最重要因素之一。针对节点自身定位的研究很多,但很大一部分都集中在算法的改进和新算法的开发上,很少给出纵向直观的仿真效果比较。研究选取无需测距算法中4种典型的算法,给出它们在不同参数下的仿真定位效果图,对于工程人员根据实际选取最优算法有很好的借鉴作用。在此基础上,利用曲线拟合技术给出了算法的定位效果的逼近函数,并根据这些函数推导出了计算定位效果的函数,这样就可以依据实际情况换算成具体值或者参数的某一范围代入定位效果函数就能确定最优的定位算法。

The node self-localization information of wireless sensor networks（WSNs）is one of the most important factor for its applications.There are numerous researches on self-localization algorithms,but most of them focus on improvement of the algorithms or the development of new algorithms,only a few longitudinal comparisons of simulations for these algorithms have been proposed.Four typical range-free algorithms is chosen and their simulated localization drawings are presented,which would be a big help for engineers to select the optimum algorithm.The approximating functions is given out,for the localization results based on the theory of curve-fitting,the four algorithms with different parameters.The localization performance function is elicited using these approximating functions.Numerical values is given out and put into the function according to practical situations.The optimum algorithm is determined.