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Sensor network data compression method based on near-optimal clustering and local virtual coordinates

A sensor network and virtual coordinate technology, applied in the field of sensor network data compression based on near-optimal clustering and local virtual coordinates, can solve problems such as errors, achieve network energy balance, improve real-time performance, and reduce average energy consumption Effect

Active Publication Date: 2010-12-08
JIANGSU SHENXIANG ELECTROMECHANICAL
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In a wireless sensor network, due to the influence of various factors such as background noise, node failure, wireless communication instability and energy constraints, the sensory data information acquired, processed and transmitted by nodes often has certain errors and certain errors. degree of uncertainty, however in some applications a certain amount of error is usually allowed

Method used

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  • Sensor network data compression method based on near-optimal clustering and local virtual coordinates
  • Sensor network data compression method based on near-optimal clustering and local virtual coordinates

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Embodiment Construction

[0017] The core idea of ​​the present invention is: after dividing the near-optimal clustering of the wireless sensor network, firstly carry out differential encoding and compression on the data collected by the network nodes at continuous time, so as to eliminate the time redundancy of the monitoring data, and then in the node data routing transmission process , and perform difference coding compression again to eliminate the spatial redundancy of monitoring data of adjacent nodes, so as to optimize the comprehensive index consisting of data accuracy, average energy consumption of transmission unit data nodes and the number of network failure nodes.

[0018] Such as figure 1 Shown, the concrete steps of the inventive method are:

[0019] Step (1). The target network is divided into several clusters based on the near-optimal clustering principle, and the cluster head node in each cluster is randomly designated by the base station for the first time, and the cluster boundary no...

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Abstract

The invention discloses a sensor network data compression method based on near-optimal clustering and local virtual coordinates, aiming at the problem of low efficiency of the existing data compression method. The method adopts the time-spatial correlations of data acquired by sensor nodes, and effectively divides a proper amount of nodes having the time-spatial correlations into a cluster by introducing the near-optimal clustering so as to balance the network energy consumption and be favor of prolonging the network service life; and the sensor network data compression algorithm based on thenear-optimal clustering and the local virtual coordinates utilizes a united compression dictionary to compress time and space redundancy of the data based on relative monitoring value differences, regulates and controls data restoration precision by regulating the size of the compression dictionary according to specific applications, and eliminates the space redundancy thereof in the data transmission process based on a distributed gradient label router, thus improving the whole network performance. The method in the invention is suitable for an environment real-time monitoring system based on a wireless sensor network, can realize effective compression for the wireless sensor network data and effectively reduces the average energy consumption of the nodes.

Description

technical field [0001] The invention belongs to the technical field of data compression, and relates to a sensor network data compression method based on near-optimal clustering and local virtual coordinates. Background technique [0002] In a monitoring system based on wireless sensor networks (WSNs), each sensor node collects local information around itself, processes it and transmits it to the sink node, and the sink node summarizes the local data collected by all nodes to obtain the overall information of the region of interest. In a wireless sensor network, due to the influence of various factors such as background noise, node failure, wireless communication instability and energy constraints, the sensory data information acquired, processed and transmitted by nodes often has certain errors and certain errors. degree of uncertainty, however in some applications a certain amount of error is usually allowed. That is, under the premise of ensuring the application requirem...

Claims

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Application Information

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IPC IPC(8): H04W28/06
CPCY02B60/50Y02D30/70
Inventor 蒋鹏李胜强
Owner JIANGSU SHENXIANG ELECTROMECHANICAL
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