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首页 > 过刊浏览>2011年第22卷第7期 >1597-1611. DOI:10.3724/SP.J.1001.2011.03864
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移动传感器网络中定位算法的性能评测
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国家自然科学基金(60873026, 60573132, 60721002); 国家重点基础研究发展计划(973)(2006CB303000, 2009CB320705); 江苏省科技支撑计划(工业)项目(BE201078); 江苏省高校科研成果产业化推进工程项目(JH10-3); 中南大学博士 后基金资助项目


Performance Evaluation of Localization Algorithms for Mobile Sensor Networks
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    摘要:

    主要有3 个方面的贡献:首先,发现在已有的移动传感器网络定位算法中所使用的仿真过程不能产生稳性能统计数据.讨论了这种现象的原因,并且提出一种定量的方法来设置仿真过程,以使得所设置的仿真过程能生稳定的性能统计数据.然后,测定和比较了几种典型的移动传感器网络定位算法在无障碍物部署和有障碍物的环境中的性能.发现在有障碍物部署的环境中,很多已有算法中提出的用以提高定位精度的技术是无效的;相,它们反而会降低算法的定位精度.最后,提出了几种节点可以借以评价自身位置估计的精度的度量.发现以前中提出的“最大可能定位误差”度量在指示单个节点的位置估计的精度时,其表现好于其他几种所提出的度量.

    Abstract:

    This paper makes three contributions. First, experiments have shown that simulation procedures used in existing localization algorithms for mobile sensor networks cannot output stable statistical data. This paper discusses the reasons for this and proposes a quantitative method to set up a simulation procedure that can output stable statistical data. Then, the paper evaluates and compares the accuracy of typical localization algorithms for mobile sensor networks in both obstacle-free and non-free environments. Results show that in environments with obstacles, many techniques that have been proposed, in the past, to improve localization accuracy in existing algorithms are useless and inversely decrease the algorithm’s accuracy. At last, this paper proposes several metrics that can be used by a single node to evaluate the accuracy of its location estimate. Results show that the “possible maximum localization error” metric, which was proposed in previous works, performs best by indicating the accuracy of location estimate for a single node.

    参考文献
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张士庚,曾英佩,陈力军,陈道蓄,谢立.移动传感器网络中定位算法的性能评测.软件学报,2011,22(7):1597-1611

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  • 收稿日期:2009-04-02
  • 最后修改日期:2010-01-04
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