Estimation of correlated and quantized spatial random fields in wireless sensor networks
Estimation of correlated and quantized spatial random fields in wireless sensor networks
复制标题
无线传感器网络中相关和量化空间随机场的估计
DOI：
10.1109/icc.2013.6654805
复制
发表时间：
2013
期刊：
影响因子：
--
通讯作者：
I. Collings
中科院分区：
文献类型：
--
作者：
Ido Nevat;G. Peters;I. Collings
在无线传感器网络中，我们开发了一种新的方法来估计和推断在二维空间上定义的空间场，该空间场是在量化和不完美信道通信约束下定义的。目标是推导出空间强度和超越估计的有效解决方案。所开发的算法是基于一种级数展开方法，其中一阶是利用高斯基的熟悉的拉普拉斯近似。我们通过大量的模拟来说明我们的方法的有效性。
We develop a novel approach for estimation and inference of spatial field defined over a two-dimensional space under quantized and imperfect channels communication constraints in wireless sensor networks. The objective is to derive an efficient solution for spatial intensity and exceedance estimation. The algorithm developed is based on a series expansion approach in which the first order is the familiar Laplace approximation utilising a Gaussian basis. We illustrate the efficiency of our approach through extensive simulations.