RSSI corrected wireless sensor network positioning algorithm of self-adaptive environment

A wireless sensor, network positioning technology, applied in network topology, wireless communication, radio wave measurement system and other directions, can solve the problem of RSSI relying on signal transmission loss index, unable to reflect the influence of wireless signal, RSSI value deviation, etc.

Inactive Publication Date: 2016-07-27
HEFEI UNIV OF TECH
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AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a wireless sensor network positioning algorithm with adaptive environment RSSI correction, to solve the problem that RSSI in the current positioning algo...

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  • RSSI corrected wireless sensor network positioning algorithm of self-adaptive environment
  • RSSI corrected wireless sensor network positioning algorithm of self-adaptive environment
  • RSSI corrected wireless sensor network positioning algorithm of self-adaptive environment

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Embodiment Construction

[0031] see figure 1 . In practice, nodes measure RSSI values ​​rather than power. Most of the current wireless transceiver chips have the function of measuring RSSI. For example, the CC2430 / 2431 launched by TI is a radio frequency transceiver conforming to the IEEE802.15.4 standard. According to the relationship curve between the power of the wireless signal received by the module and the RSSI value, it can be found that the RSSI value is proportional to the received power of the wireless signal. Strict linear relationship, it can be considered that RSSI truly reflects the power of the received wireless signal.

[0032] Assuming reference node A 3 Received two other reference nodes nearby, A 1 ,A 2 The RSSI value, according to the RSSI value formula:

[0033] RSSI 13 = - ( ...

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Abstract

The invention discloses a RSSI corrected wireless sensor network positioning algorithm of a self-adaptive environment. The method comprises constructing an offline fingerprint database using a confidence interval thought to realize the aim of estimating the total true value using the small sample measurement value. In the process of promoting the precision, the K value in the K-NNSS algorithm needs to weigh between the algorithm precision and the computation complexity. Besides the fingerprint positioning, the RSSI value acquired through the filtering of a Gaussian model is specifically used, and the distance relation between a unknown node and a beacon and the distance relation between the beacons are combined so as to correct the distance between the unknown node and the beacon, the accuracy of the maximum likelihood of location solution is improved; the corrected distance relation between the unknown node and the beacon is used for constructing a subsequent centroid positioning weighting coefficient, thereby reflecting the positioning influence of each beacon to the unknown node to promote the precision of the algorithm.

Description

technical field [0001] The invention relates to a wireless sensor network positioning algorithm, in particular to a wireless sensor network positioning algorithm for adaptive environment RSSI correction. Background technique [0002] Due to its low cost, simple deployment, and no need for on-site maintenance, wireless sensor networks are currently widely used in environmental monitoring, scientific research, and military applications. Many applications of wireless sensor networks are related to the location information of nodes, such as underground personnel positioning system, highway traffic management system, etc. Without location information, these applications are meaningless. [0003] At present, when ranging based on RSSI, its strength indication is heavily dependent on the signal transmission loss index, but since the index is generally selected as a fixed empirical value, it cannot reflect the impact of the actual environment on the wireless signal, even if the RSSI...

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Application Information

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IPC IPC(8): H04W4/02H04W24/08H04W64/00H04W84/18G01S11/06
CPCG01S11/06H04W4/023H04W24/08H04W64/006H04W84/18
Inventor 马学森宫帅张建军毕翔卫星魏振春张本宏
Owner HEFEI UNIV OF TECH
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