无线传感器网络节点的自定位技术研究

首先, 总结和分析 无线传感网络节点自定位的基本原理、分类,得到自定位技术的本质是一个优化最优问题；其次,在该基础上,以遗传算法、模拟退火算法、进化策略和差分进化算法作为研究对象,针对这4种典型定位算法的优缺点展开讨论；然后,结合GA算法和SA算法各自的优势,提出一种遗传-模拟退火算法,从而增加初始种群的多样性,避免在传感器节点选择中陷入局部最优解的问题；最后,将上述改进方法应用到无线传感器网络节点定位中,用MATLAB分别对GA算法、SA算法和GSA算法进行仿真比较,验证了GSA算法的优势,为无线传感节点自定位技术提供新的参考。

Self Localization Technology of Wireless Sensor Network Node

This paper firstly summarized and analyzed basic principle and classification of the wireless sensor network node,and got that essence of self localization technology is an optimal problem.Secondly,on this basis,we took the genetic algorithm,simulated annealing algorithm,evolutionary strategy and differential evolution algorithm as the research object,and discussed the advantages and disadvantages of the four kinds of typical localization algorithm.Then,combined with the advantages of GA algorithm and SA algorithm respectively,a genetic simulated annealing algorithm was proposed,thereby improving the initial population diversity and avoiding the local optimal solution problem in sensor node selection.Finally the improved method was applied to locate wireless sensor network node,with Matlab respectively on the GA algorithm,SA algorithm and GSA algorithm simulation,and the advantages of GSA algorithm were verified for free wire sensing node self localization technology to provide a new reference.