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Distributed Compressed Sensing Data Fusion Method with Privacy Preservation

A technology for privacy protection and data perception, applied in the field of wireless networks, can solve the problems of insufficient consideration of sensor network data sparsity, time correlation and space correlation, excessive communication overhead, unfavorable deployment and application, etc., to achieve convenient The effect of network application and scale expansion, reduction of additional communication overhead, improvement of privacy protection performance and algorithm efficiency

Active Publication Date: 2016-04-27
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

However, its additional communication overhead is too large, the calculation complexity is high, and the characteristics of sensor network data such as sparsity, time correlation and spatial correlation are not fully considered, which is not conducive to actual deployment and application.

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  • Distributed Compressed Sensing Data Fusion Method with Privacy Preservation
  • Distributed Compressed Sensing Data Fusion Method with Privacy Preservation
  • Distributed Compressed Sensing Data Fusion Method with Privacy Preservation

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Embodiment Construction

[0018] Wireless sensor networks use wireless media to transmit data, and face serious data leakage threats during the application process, including node privacy information, node trust information, etc. At the same time, there is no need to establish an explicit end-to-end path during data transmission, and a large amount of state information and data need to be exchanged between nodes. At the same time, each sensor node has energy finite constraints. Therefore, a reasonable privacy-preserving data fusion method can prevent important sensing data from being maliciously eavesdropped and leaked, and at the same time can effectively balance the energy consumption of the entire network, reduce network communication overhead, realize efficient processing of network data, and improve the network life cycle. Purpose.

[0019] In the actual wireless sensor network, the nodes are generally divided into two categories: a large number of low-resource sensor nodes and a small number of ...

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Abstract

The invention provides a distributed compressed sensing data fusion method having the privacy protection effect and relates to the field of wireless networks. A privacy protection fusion method based on data sparsity position information hiding is designed in a distributed scene, and by the adoption of data sparsity support set feature learning, real data sparsity position hiding and distributed compressed sensing fusion observation, the additional communication cost brought by a traditional privacy protection fusion method is avoided, and data processing of sensor networks is facilitate. The data privacy protection fusion method has the obvious data privacy protection effect on the sensor networks, meanwhile can effectively reduce network energy consumption and improve the algorithm efficiency and the data processing performance by utilizing a distributed compressed sensing fusion strategy, and facilitates user management, network application and scale expanding.

Description

technical field [0001] The invention relates to the field of wireless networks, in particular to a privacy protection data fusion mechanism of a wireless sensor network. Background technique [0002] Wireless sensor network (Wireless Sensing Network, WSN) is composed of a large number of sensor nodes deployed in the monitoring area, a self-organizing network formed through wireless communication. With the development of hardware and software technology, its application scope has gradually penetrated into various fields of human life. However, sensor nodes have certain limitations in computing and storage capabilities, communication capabilities, and energy, which makes data fusion technology one of the research directions for wireless sensor networks. [0003] Data fusion technology refers to an information processing technology that correlates and analyzes multiple pieces of observation data or information under certain criteria to combine data that is more effective and m...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W16/14H04W88/18
CPCY02D30/70
Inventor 吴大鹏唐季超王汝言孙青文刘乔寿吉福生熊余
Owner CHONGQING UNIV OF POSTS & TELECOMM
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