Joint localization and transmit-ambiguity resolution for ultra-low energy wireless sensors

Stephan Schlupkothen, G. Ascheid
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引用次数: 5

Abstract

Technological advances in the miniaturization of millimeter-sized sensor motes facilitate new application cases where the motes' inherent energy constraints enforce radical changes with respect to the sensors' communication procedures. An upcoming application scenario is the surveying and exploration of hardly permeable and hardly accessible underground environments such as those of oil-sand mining areas. This scenario requires ten-thousands of millimeter-sized sensor motes (outer diameter less than 5mm) to examine the resource wealth. Within this scope, a correspondingly large amount of extremely resource constrained sensors motes need to have the possibility to sense their environment and interact with each other. In order to enable such application cases, significant energy savings are necessary. An interesting and promising approach is to shorten the sensors' DS-CDMA code sequences and, thereby, reduce the communication related energy costs. In this work, we investigate the resulting downsides of this approach on the range-based localization. As the code shortening leads to the problem of nonunique transmitter identification and consequently non-relatable pairwise distance measurements, the localization of the sensors by typical means is prevented in the first place. This is because multiple sensor motes will concurrently use the same transmit-codes. In this regard, we propose an approach which enables the joint localization and ambiguity resolution and reduces the complexity compared to sequential approaches where at fist the transmit-ambiguities are resolved and a localization with typical methods is performed subsequently.
超低能量无线传感器联合定位与传输模糊度分辨率
毫米尺寸的传感器微球的小型化技术进步促进了新的应用案例,其中微球的固有能量约束强制对传感器的通信程序进行彻底的改变。油砂矿区等难以渗透、难以进入的地下环境的测量和勘探是一个即将出现的应用场景。这种场景需要上万个毫米大小的传感器(外径小于5mm)来检测资源的丰富性。在这个范围内,相应的大量资源极度受限的传感器需要能够感知其环境并相互交互。为了实现这样的应用案例,大量的能源节约是必要的。一个有趣且有前途的方法是缩短传感器的DS-CDMA编码序列,从而降低通信相关的能源成本。在这项工作中,我们研究了这种方法在基于距离的定位上的缺点。由于编码缩短导致了非唯一的发射机识别问题,从而导致了不相关的成对距离测量,这首先阻碍了典型方法对传感器的定位。这是因为多个传感器将同时使用相同的传输码。在这方面,我们提出了一种能够联合定位和模糊解决的方法,与顺序方法相比,该方法首先解决传输模糊,然后使用典型方法进行定位,从而降低了复杂性。
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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