Wireless network topology inference method based on spatial-temporal characteristics

• Main Authors: LI HAOZHU, XIAO XIAO, HU XIAOPENG, CHANG LILI, CHEN RUI, YANG JUN
• Format: Patent
• Language: Chinese; English
• Published: 11.11.2022
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC COMMUNICATION TECHNIQUE; ELECTRICITY; PHYSICS; TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION; WIRELESS COMMUNICATIONS NETWORKS

The invention relates to a wireless network topology inference method based on spatial-temporal characteristics. The method comprises the following steps: setting a sensor network in a target area; detecting the power of the non-cooperative network; dividing the target area into M preset grids; inputting the power of a preset grid into the neural network model to obtain coordinates of non-cooperative nodes; obtaining the distance between the two non-cooperative nodes according to the coordinates of the non-cooperative nodes; obtaining starting time and ending time of sending information of each non-cooperative node according to the time information interacted between the non-cooperative nodes; the mean value of the frame intervals and the variance of the frame intervals of all the node pairs are obtained; and inputting the mean value of the frame intervals of the node pairs, the variance of the frame intervals and the distance information into the trained classification model to obtain the connectivity relati