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A parameter estimation method for binary sensor networks

A sensor network and parameter estimation algorithm technology, applied in network topology, data exchange network, transmission system, etc., can solve the problem of poor parameter estimation performance of binary sensor network, achieve good robustness and practicability, good convergence The effect of reducing the cost of use

Active Publication Date: 2018-12-18
STATE GRID FUJIAN ELECTRIC POWER CO LTD
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Problems solved by technology

[0004] An object of the present invention is to solve the problem of poor parameter estimation performance of the above-mentioned existing binary sensor network, and to provide a parameter estimation method for binary sensor network

Method used

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  • A parameter estimation method for binary sensor networks
  • A parameter estimation method for binary sensor networks
  • A parameter estimation method for binary sensor networks

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Embodiment Construction

[0032] The technical solution of the present invention will be further specifically described below through specific examples.

[0033] A parameter estimation method for binary sensor networks, using binary sensor nodes instead of traditional high-precision sensor nodes, using 1-bit measured values ​​to realize online estimation of unknown parameters, based on sparse penalty maximum likelihood optimization, combined with expectation maximization EM and Least mean square LMS, and considering the sparsity of unknown parameters, realizes the precision estimation of binary sensor network parameters.

[0034] Specifically include:

[0035] Step 1: Randomly distribute N binary sensor network nodes in a certain area, and determine the topology of the network according to the spatial position information between nodes, such as figure 1 shown;

[0036] In the binary sensor network, the set of nodes connected to node k, including node k itself, is represented by N k said, N k is cal...

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Abstract

A parameter estimation method for binary sensor networks is provided. A binary sensor node is used to replace the traditional high-precision sensor node, the on-line estimation of unknown parameters is realized by using a 1-bit measurement value, based on sparse penalty maximum likelihood optimization, combining with expectation maximization EM and least mean square LMS, and taking into account the sparsity of unknown parameters, the accuracy of binary sensor network parameters is estimated, which effectively reduces the use cost of sensors, and has good robustness and practicability.

Description

technical field [0001] The invention relates to the field of wireless sensor networks, in particular to a parameter estimation method for binary sensor networks. Background technique [0002] Wireless sensor network is a distributed network system composed of a large number of spatially distributed sensor nodes, which can coordinate real-time monitoring, perception and collection of various environmental information in the network area, which is of great significance in the fields of environmental monitoring, military defense and target tracking. and broad application prospects. Based on the measured values ​​of different sensor nodes, it is an important application of wireless sensor networks to realize accurate estimation of unknown parameters of physical quantities of interest. In a sensor network, each sensor node usually has limited computing, communication and storage capabilities, and the performance and cost of the nodes used in the sensor network are different. ...

Claims

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Application Information

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IPC IPC(8): H04L12/24H04W84/18
CPCH04L41/085H04L41/12H04W84/18
Inventor 王文博姚英彪刘兆霆
Owner STATE GRID FUJIAN ELECTRIC POWER CO LTD
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