Harnessing Non-Uniform Transmit Power Levels for Improved Sequence Based Localization

S. Deora, B. Krishnamachari
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引用次数: 10

Abstract

Sequence-based localization (SBL) is a technique whereby a node is localized based on the ranked sequence of signal strengths obtained from a set of beacon nodes. SBL effectively partitions the area into regions corresponding to unique ranked sequences. Prior work has developed SBL under the assumption that all beacons have the same transmit power. In this work, we consider beacons with unequal transmit power for sequence-based localization and present heuristic algorithms for joint transmit power optimization and beacon placement. We show through comprehensive simulations that a novel enhancement of SBL utilizing optimized non-uniform transmit powers, coupled with careful beacon placement, which we refer to as NU-SBL, can dramatically improve the area partitioning compared to traditional SBL. However, in evaluating these schemes under stochastic fading, we find that the original SBL with optimized location performs nearly as well or slightly better than NU-SBL in many cases. We introduce another scheme, that we refer to as NU-SBL-ZOOM, which further allows the power levels to be optimized non-uniformly so as to focus in on a particular smaller region within the larger localization space. NU-SBL-ZOOM is found to perform much better in terms of both area partitioning as well as location error in the presence of fading.
利用非均匀发射功率电平改进基于序列的定位
基于序列的定位(SBL)是一种基于从一组信标节点获得的信号强度排序序列来定位节点的技术。SBL有效地将区域划分为与唯一排序序列相对应的区域。先前的工作是在假定所有信标具有相同发射功率的情况下发展SBL的。在这项工作中,我们考虑了具有不等发射功率的信标进行基于序列的定位,并提出了联合发射功率优化和信标放置的启发式算法。我们通过综合模拟表明,与传统的SBL相比,利用优化的非均匀发射功率以及精心的信标放置(我们称之为NU-SBL)对SBL进行的新型增强可以显着改善区域划分。然而,在随机衰落下对这些方案进行评估时,我们发现在许多情况下,具有优化位置的原始SBL几乎与NU-SBL一样好或略好。我们引入了另一种方案,我们称之为nu - sl - zoom,它进一步允许非均匀优化功率电平,以便在更大的定位空间内聚焦于特定的更小的区域。发现nu - sl - zoom在区域划分以及存在衰落的位置误差方面都表现得更好。
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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