A secure distributed detection method based on constellation rotation in energy-constrained WSNs

Abstract

The invention discloses a safe distributed detection method based on constellation diagram rotation in a energy-limited WSN (wireless sensor network). The method comprises the following steps of 1) distributing a plurality of sensors near a local physical system to carry out distributed detection on a local state; 2) obtaining a Bayesian detection result LD of each sensor, comparing the Bayesian detection result LD of each sensor with four local detection thresholds, and quantifying to obtain a 2-bit quantization value {bk0bk1}; and 3) sending the obtained 2-bit quantized value {bk0bk1} to theAFC by adopting a QPSK modulation mode, the AFC receives a 2-bit quantized value {bk0bk1} sent by each sensor, secondly, broadcasting and sending known pilot signals to the sensors, receiving the pilot signals sent by the AFC broadcast by the sensors, estimating the amplitude and the phase of a main channel according to the received pilot signals, carrying out phase compensation on the signals tobe sent, and then sending the signals subjected to phase compensation; and (4) using the AFC to receive the signal sent by each sensor. The method is relatively better in safety and relatively betterin performance of the AFC.

Description

technical field [0001] The invention relates to the physical layer security field of a wireless sensor network (WSN) in the Internet of Things (IoT), and relates to a safe distributed detection method based on constellation diagram rotation in an energy-constrained WSN. Background technique [0002] The Internet of Things (IoT) is to connect information sensing devices such as radio frequency identification, infrared sensors, global positioning systems, and laser scanners with the Internet for information exchange and communication, so as to realize intelligent identification, positioning, tracking, monitoring and management . Various communication technologies and systems such as identification and tracking technology, wired and wireless sensor networks (WSN) will be integrated in the IoT system. As a distributed sensor network, WSN has applications in commercial, industrial, government, military and other fields. Wireless sensor network contains a large number of sensors...

AI Technical Summary

Problems solved by technology

Second, also in the local quantification stage of distributed detection, some sensors with poor local detection performance are selectively kept silent and not sent, because sensors with poor local detection performance are more likely to detect errors, so they will Pass the error directly to the AFC, thus affecting the fusion decision of the AFC

Third, in the stage of sending the sensor signal to the AFC, the wireless channel state from the sensor to the AFC is used for random reverse transmission. For sensors with poor channel conditions, the probability of channel transmission error is high, so it is reversed and transmitted, even if the EFC eavesdrops Even if the signal is obtained, the original sending status cannot be judged correctly.

Fourth, in the sensor signal transmission stage, artificial noise is sent while the normal signal is sent, which not only reduces the performance of EFC, but also reduces the performance of AFC

In short, most scholars focus on the sensor detection quantization stage and the channel transmission stage in the research of the first to third directions, mainly performing 1-bit quantization, and the research of the second and third directions makes the performance of EFC reach the worst , get absolute security, but also reduce the performance of AFC. After all, in many scenarios, we do not necessarily need to impose absolute constraints on the performance of EFC, which can be appropriately relaxed to improve AFC performance

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