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This paper is aimed at solving the problem in the data acquisition process of WSN network, such as energy problem, the correlated problem of data acquisition and the dynamic problem of network topology. An efficient data collection solution based on TRIZ contradiction matrix and innovation principle is presented in the paper. Firstly, the contradiction matrix is used to obtain the corresponding principle,...
A time difference of arrival (TDOA) estimation system based on fast cross correlation is introduced in this paper. The system takes ADS8365, FPGA and DSP as the core devices to implement multichannel synchronous data acquisition and real time data processing. Comparison between cross correlation and fast cross correlation in aspects of the principle and time complexity is also discussed. Experimental...
This paper proposes a new approach to save energy in a wireless sensor network (WSN) in which sensors lie on a uniform rectangular grid. At each data-acquisition/sampling instant, only a randomly selected subset of all the sensor nodes acquires and transmits the data. This problem can be solved by semi-definite programming, which is based on fixed point continuation with Bregman iterations.
The problem of latency in data acquisition, which is specific to the case of mobile wireless sensor networks, has been introduced and investigated. in this regard, the properties of the so-called data acquisition latency error, and the way it affects the performance of the respective localization schemes in a mobile network were discussed through both theoretical analysis and simulations. Moreover,...
In this paper we look at the problem of accurately reconstructing distributed signals through the collection of a small number of samples at a data gathering point. The techniques that we exploit to do so are Compressive Sensing (CS) and Principal Component Analysis (PCA). PCA is used to find transformations that sparsify the signal, which are required for CS to retrieve, with good approximation,...
This paper proposes a data acquisition scheme which supports probabilistic data quality assurance in an error-prone wireless sensor network (WSN). Given a query and a statistical model of real-world data which is highly correlated, the aim of the scheme is to find a sensor selection scheme which is used to deal with inaccurate data and probabilistic guarantee on the query result. Since most sensor...
Distributed sensing and data acquisition in field applications is a labor intensive and expensive process. In such applications, measurements need to be performed in thousands of points. To design a sensor network for soil moisture measurement, we introduce a two step design procedure; in the first step, the data of soil moisture experiments known as SMEX03 (in Little Washita watershed, Oklahoma)...
Wireless sensor networks hold the potential to open new domains to distributed data acquisition. However, low-cost battery-powered nodes are often used to implement such networks, resulting in tight energy and communication bandwidth constraints. Cluster-based data compression and aggregation helps to reduce communication energy consumption. However, neglecting to adapt cluster sizes to local network...
Various routing structures have been proposed for the data gathering in wireless sensor networks, which are supposed to be efficient in terms of energy consumption and delivery delay. Unfortunately, most of these structures assume not only a static and stable network environment but also the network-wide information such as global topology. These assumptions lead to intolerable overhead in the construction...
This paper addresses how to exploit temporal and spatial data correlations to collect data energy-efficiently from sensor nodes. In our approach, models are maintained by nodes and cluster heads, and replica models are maintained by the base station. The base station uses the replica models to estimate the actual measurement data in usual time, and an actual measurement datum is sent to the base station...
This paper proposes a sensor selection scheme for data acquisition which supports probabilistic confidence requirements in wireless sensor networks (WSNs). The aim of the scheme is to optimize the long-term performance criterion in data collection while maintaining data reliability under error-prone WSNs. We formulate the problem as a partially observable Markov decision process (POMDP). An existing...
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