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首页> 外文会议>Information Sciences and Systems, 2009. CISS 2009 >An energy efficient iterative method for source localization in wireless sensor networks
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An energy efficient iterative method for source localization in wireless sensor networks

机译：一种用于无线传感器网络中源定位的高效节能迭代方法

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In this paper, we study the source localization problem in wireless sensor networks. Sensors transmit their quantized signal amplitude measurements to the fusion center and source location is estimated based on these quantized measurements. In this paper, we propose an energy efficient iterative localization scheme, where the algorithm starts with a coarse location estimate obtained from a set of anchor sensors. At each consecutive iteration, some of the non anchor sensors are activated which minimize the Posterior Cramer Rao Lower Bound (PCRLB). Then, using the available information received at previous iterations as side information, the quantized data of each activated sensor is further compressed to conserve energy using distributed data compression techniques prior to transmission to the fusion center. Simulation results show that the proposed iterative method achieves the same estimation performance as when all the sensors transmit their quantized data to the fusion center within a few iterations, while at the same time significantly reducing the communication requirements resulting in energy savings.
机译：在本文中，我们研究了无线传感器网络中的源定位问题。传感器将其量化的信号幅度测量结果传输到融合中心，并根据这些量化的测量结果估计源位置。在本文中，我们提出了一种高效节能的迭代定位方案，该算法以从一组锚定传感器获得的粗略位置估计开始。在每个连续的迭代中，将激活一些非锚传感器，以最小化后Cramer Rao下界（PCRLB）。然后，使用在先前迭代中接收到的可用信息作为辅助信息，在传输到融合中心之前，使用分布式数据压缩技术进一步压缩每个激活的传感器的量化数据以节省能量。仿真结果表明，所提出的迭代方法具有与所有传感器在几次迭代中将其量化数据传输到融合中心时相同的估计性能，同时显着降低了通信需求，从而节省了能源。

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