Component based localization in sparse wireless ad hoc and sensor networks

Xiaoping Wang, Jun Luo, Shanshan Li, Dezun Dong, Wei-Fang Cheng
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引用次数: 23

Abstract

Localization is crucial for wireless ad hoc and sensor networks. As the distance-measurement ranges are often less than that of the communication range for many ranging systems, most communication-dense wireless networks are often localization-sparse. Consequently, most existing algorithms fail to provide accurate localization supports. In order to address this issue, by introducing a concept of component, we propose to group nodes into components, so that nodes are able to better share their ranging and anchor knowledge. This design, CALL, relaxes two essential restrictions in localization: node ordering and anchor distribution. We evaluate the effectiveness of CALL through extensive simulations. The results show that CALL locates 80% nodes in a network with average degree 7.5 and 5% percent anchors, which outperforms the state of the art design Sweeps about 20%.
稀疏无线自组网和传感器网络中基于组件的定位
定位是无线自组织和传感器网络的关键。由于许多测距系统的测量距离往往小于通信距离,因此大多数通信密集的无线网络往往是定位稀疏的。因此,大多数现有算法无法提供准确的定位支持。为了解决这一问题,我们引入组件的概念,提出将节点分组为组件,使节点能够更好地共享其测距和锚定知识。这种CALL设计放宽了本地化的两个基本限制:节点排序和锚点分布。我们通过大量的模拟来评估CALL的有效性。结果表明,CALL在网络中定位80%的节点,平均度为7.5%,锚定率为5%,优于当前设计的扫描率约为20%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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