RSSI (Received Signal Strength Indicator) ranging based WLS (WebLogic Server) node self-positioning method in wireless sensor network

A wireless sensor network and self-positioning technology, applied in wireless communication, network topology, electrical components, etc., can solve the problems of limited positioning accuracy, large ranging error, and large environmental impact, and achieve improved positioning accuracy and simple implementation. Effect

Active Publication Date: 2012-02-29
SHANGHAI INST OF MICROSYSTEM & INFORMATION TECH CHINESE ACAD OF SCI
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Problems solved by technology

However, the positioning algorithm based on RSSI is greatly affected by the environment, the ranging error is large, and the positioning accuracy is limited.

Method used

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  • RSSI (Received Signal Strength Indicator) ranging based WLS (WebLogic Server) node self-positioning method in wireless sensor network
  • RSSI (Received Signal Strength Indicator) ranging based WLS (WebLogic Server) node self-positioning method in wireless sensor network
  • RSSI (Received Signal Strength Indicator) ranging based WLS (WebLogic Server) node self-positioning method in wireless sensor network

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Embodiment Construction

[0018] Below in conjunction with specific embodiment, further illustrate the present invention. It should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the teachings of the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.

[0019] The present invention provides a WLS node self-location method based on RSSI ranging in a wireless sensor network, such as figure 1 As shown, the present invention adopts log-normal channel model based on RSSI ranging technology, and the relationship between power fading and distance is shown in formula (1).

[0020] P i [dBm]=P 0 [dBm]-10nlog 10 d i +X σ (1)

[0021] The present invention only considers two-d...

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Abstract

The invention relates to an RSSI (Received Signal Strength Indicator) ranging based WLS (WebLogic Server) node self-positioning method in a wireless sensor network, which comprises the following steps that: firstly, in a positioning process, a channel fading factor n is calculated by weighting; secondly, a distance between an unknown node and a beacon node is measured by RSSI ranging; and finally, a coordinate of the unknown node is estimated by a weighted least squares algorithm (WLS). Based on the same hardware complexity of the positioning algorithm and the least squares (LS) estimation algorithm, the positioning accuracy is greatly enhanced, therefore, the method provided by the invention is simple and easy to implement, and has a stronger practical value.

Description

technical field [0001] The invention belongs to the technical field of wireless sensor network positioning, in particular to a WLS node self-positioning method based on RSSI distance measurement in a wireless sensor network. Background technique [0002] Wireless Sensor Network (WSN) is an "intelligent" network composed of miniature sensor nodes with wireless communication, perception and computing capabilities. It is used in various fields such as military, agriculture, environmental testing, medical and health, industry, intelligent transportation, etc. In wireless sensor network applications, the location information of nodes is very important. In most applications, the data sensed without knowing the sensor location is meaningless. The current node self-location algorithms are mainly divided into two categories: range-based positioning algorithms and range-free positioning algorithms. The positioning algorithm based on ranging measures the distance or angle relationshi...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W64/00H04W84/18
Inventor 罗炬锋丁承汪磊付耀先
Owner SHANGHAI INST OF MICROSYSTEM & INFORMATION TECH CHINESE ACAD OF SCI
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