Improved weighting trilateral positioning method based on RSSI (received signal strength indicator) in wireless sensor network

Abstract

The invention provides an improved weighting trilateral positioning method based on RSSI (received signal strength indicator) in a wireless sensor network and relates to the field of node self-positioning in the wireless sensor network. The method is used for solving the problem that a bigger positioning error is easily caused by the using of the traditional method which cannot meet the indoor positioning requirement in real life because the traditional method is limited by the factors such as signal multipath transmission, sight distance, low coordinate calculation precision, and the like. The method provided by the invention comprises the following steps: starting an unknown node positioning function and guiding an unknown node to send out a message; after receiving the message from the unknown node by an anchor node, calculating RSSI and storing in a hardware register; sending the ID number, RSSI value and position information (Xi, Yi) (i is equal to 1,2,...), which are distributed to the anchor node, to the unknown node by the anchor node; sequencing the anchor node according to the size of the received RSSI, and choosing N anchor nodes having big RSSI for self-positioning, wherein N is more than or equal to 3; according to the information of N anchor nodes, confirming the weighted value by the using of the trilateral positioning method; and using a weighting algorithm to calculate the coordinate of the unknown node. The method provided by the invention is used for weighting the coordinate information by utilizing the weighting principle.

Description

technical field [0001] The invention relates to the self-positioning field of nodes in a wireless sensor network, in particular to an RSSI-based improved weighted trilateral positioning method in a wireless sensor network with low computational complexity, easy implementation and high precision. Background technique [0002] With the development of micro-electro-mechanical system (micro-electro-mechanism system, MEMS for short), system on chip (SOC, System on Chip), wireless communication and digital electronic technology, as a new type of information acquisition and processing mode, wireless sensor The network has great application prospects. DAPRA (Defense Advanced Research Projects Agency) of the United States invests tens of millions of dollars every year in the research of wireless sensor network technology. In Europe and Japan, research on wireless sensor networks has also received strong support from the government. In China, many colleges and universities have set ...

AI Technical Summary

Problems solved by technology

[0006] The present invention proposes an improved weighted trilateration positioning method based on RSSI in a wireless sensor network. The technical problem to be solved is that the traditional trilateration positioning method based on RSSI technology is limited by signal multipath propagation, line-of-sight ( Factors such as None Line of Sight, NLOS) and low coordinate calculation accuracy often bring large positioning errors to the tool, so that it cannot meet the needs of indoor positioning in real life.

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