Sequential Localization Algorithm for Active Sensor Network Deployment

Y. Zhang, Qingfeng Huang, Juan Liu
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引用次数: 12

Abstract

There has been a lot of work on localization for sensor networks. Most localization schemes assume an already deployed network. Very little research has been done for active sensor deployment with mobile robots. In this paper, we present a distributed sequential localization process which is tightly integrated with robotic sensor deployment. Being location-aware, sensors can be placed in advantageous locations to avoid big localization errors. In turn, the accurate localization result helps further sensor deployment. We compare our distributed sequential localization scheme with five existing localization algorithms, both through simulations and through repeated runs on a mote testbed. Results show that the distributed sequential localization algorithm produces comparable results to the state-of-the-art centralized localization algorithms. Experiments also show that pre-post processing plays important roles at getting good localization results for all localization algorithms
主动传感器网络部署的顺序定位算法
在传感器网络定位方面已经有很多工作。大多数本地化方案假设已经部署了网络。在移动机器人上部署主动传感器的研究很少。在本文中,我们提出了一种与机器人传感器部署紧密结合的分布式顺序定位过程。由于具有位置感知能力,传感器可以放置在有利的位置,从而避免较大的定位误差。反过来,准确的定位结果有助于进一步部署传感器。我们将分布式顺序定位方案与五种现有的定位算法进行了比较,并通过模拟和在远程测试台上的重复运行进行了比较。结果表明,分布式顺序定位算法产生的结果与最先进的集中式定位算法相当。实验还表明,对于所有的定位算法,预后处理对于获得良好的定位结果起着重要的作用
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