【摘要】 对一些复杂环境进行监测是无线传感网络的重要应用之一,而这些应用也为无线传感网络提出了许多新的研究课题,提高在复杂环境条件下传感器节点定位精度就是其中之一。论文在研究相关定位算法的基础上,提出了一种适用于复杂环境的改进定位算法。论述的新算法属于类DV跳节点定位算法,改进了原有的概率栅格算法,引入了局部跳数,以代替原有算法中的相应参量。通过仿真实验表明,该算法在包含大量传感节点的情况下能有效的提高定位精度,适用于复杂环境的监测要求。更多还原

【Abstract】 Wireless sensor networks(WSN) has become possible because of the on-going improvements in sensor technology.As the development of WSN,the problem about WSN was growing up.Sensor nodes localization was an important new research point.Getting the smallest location error in nodes localization was the final goal.Many work in literature propose schemes and methods for localization in wireless sensor networks.In this paper we presented a localization scheme,called the Local(Hop-count) Probability Grid,tha was the derive algorithm of Probability Grid and could also be used in WSN which have been deployed in a grid topology.更多还原