Wireless sensor network node selection method based on blind source separation

A sensor node and wireless sensor technology, applied in network topology, wireless communication, advanced technology, etc., can solve problems such as no recharging, limited energy of a single sensor node, etc.

Active Publication Date: 2014-09-10
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0005] Technical problem: Blind source separation is an important signal processing task in wireless sensor networks. Since the energy of a single sensor node is limited and usually can

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  • Wireless sensor network node selection method based on blind source separation
  • Wireless sensor network node selection method based on blind source separation
  • Wireless sensor network node selection method based on blind source separation

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Embodiment Construction

[0032] 1. Determination of the optimal number of sensor nodes

[0033]In the present invention, the blind separation of the mixed signal is completed at the sink node of the fusion center, and the sensor node is only used to collect the mixed signal and transmit it to the sink node of the fusion center. With the increasing maturity of high-performance and low-power processor and sensor module technology, the energy consumed in the actual work of sensor nodes is mainly concentrated in the wireless communication module for data transmission. Therefore, reducing the amount of node data transmission is of great significance to saving energy consumption. To reduce the transmission amount of nodes, an effective method is to select only k nodes from a large number of WSN nodes each time to transmit their observation data to the sink of the fusion center for blind source separation, and most of the other nodes do not transmit data, but wait for If it is selected in the next round of ...

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Abstract

The invention provides a wireless sensor network node selection method based on blind source separation. The method comprises the following steps: determining the relation between node average observation noise and blind source separation performance through a numerical fitting method based on the two factors of observation noise and residual energy of a sensor node; modeling a node selecting problem into a combination optimization problem based on comprising of the node residual energy and the blind source separation performance, and solving the optimization problem on a sink node by adopting a heuristic algorithm based on convex optimization to determine a selected node; transmitting an acquired mixed signal from the selected node to the sink node, and performing blind source separation at the sink node to recover each independent source signal. By adopting a node optimization selection algorithm, the node residual energy can be effectively increased, the life cycle of a wireless sensor network is prolonged, and meanwhile excellent signal separation performance is ensured.

Description

technical field [0001] The invention relates to a wireless sensor network node selection method for blind source separation, in particular to a wireless sensor network node selection method based on a compromise between node residual energy and blind source separation performance, and belongs to the technical field of communication and signal processing. Background technique [0002] The Internet of Things (Internet of Things) is the third wave of the world's information industry after computers, the Internet and mobile communication networks. It has a wide range of applications in intelligent transportation, smart home, medical care, agriculture and other fields. Wireless sensor networks (WSN) are an important part of the perception layer of the Internet of Things, and are widely used to complete signal processing tasks such as signal detection, estimation, and target tracking. In the actual application scenario of WSN, there are usually multiple signal sources in the sensi...

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Application Information

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IPC IPC(8): H04W52/02H04W84/18
CPCY02D30/70
Inventor 杨震孙宏娟
Owner NANJING UNIV OF POSTS & TELECOMM
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