The book "Adaptive Traffic Light Control In WSN-Based ITS" offers a comprehensive analysis of the challenges and solutions in the field of Intelligent Transportation Systems (ITS) using Wireless Sensor Networks (WSNs). It highlights the limitations of traditional monitoring methods for collecting traffic data, such as limited coverage and high costs for implementation and maintenance. By utilizing WSNs, the possibility arises to efficiently collect and process real-time traffic data. The authors, Jiannong Cao, Bai Li, and Binbin Zhou, present innovative methods and algorithms for adaptive traffic light control that are applicable to both isolated and multiple intersections. The proposed models leverage the traffic information gathered by WSNs to maximize system efficiency, minimize waiting times, and reduce the number of stops for vehicles. The results of experiments conducted on the iSensNet testbed demonstrate the effectiveness of the developed approaches under various traffic conditions.