Abstract-This paper studies the wireless sensor network localization algorithm based on the received signal strength indicator (RSSI) in detail. Considering the large errors in ranging and localization of nodes made by the algorithm, this paper corrects and compensates the errors of the algorithm to improve the coordinate accuracy of the node. The improved node localization algorithm performs error checking and correction on the anchor node and the node to be measured, respectively so as to make the received signal strength value of the node to be measured closer to the real value. It corrects the weighting factor by using the measured distance between communication nodes to make the coordinate of the node to be measured more accurate. Then, it calculates the mean deviation of localization based on the anchor node close to the node to be measured and compensates the coordinate error. Through the simulation experiment, it is found that the new localization algorithm with error checking and correction proposed in this paper improves the localization accuracy by 5%-6% compared with the weighted centroid algorithm based on RSSI.Keywords-wireless sensor network, RSSI-based localization algorithm, ranging correction, error checking and correction IntroductionWireless Sensor Network (WSN) is currently a popular information acquisition and processing technology and one of the research hotspots. WSN technology integrates sensor, wireless network communication and embedded computing technologies and transmits data and information through WSN nodes. It randomly sows a large number of cheap sensor nodes in a detection region and makes them self-organize and form an intelligent network system via wireless communication, which can sense and acquire various target information in the detection region at any time. In a WSN, the geographical locations of nodes are very important to the whole network. Knowing the location of the event and the information about the monitoring target is the basis for the real-time monitoring of the sensor network. Therefore, it is very necessary to apply an appropriate localization algorithm to obtain the location information of each communication node in the WSN. 52

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