Effective Traffic Control and Latency Minimization in Intelligent UAV-Enabled WSN

Unmanned Aerial Networks (UAV) is a trending technology and it also become an effective solution provider for certain issues like accident occurrences, traffic management and comfortable services on the road. However, due to fast moving topology and high-speed moment certain drawbacks are occurred in the UAV communication which results in link disconnection, high power consumption and delay with leads to reduce the network stability. To overcome certain drawbacks, it is highly essential to improve the traffic control and networking model of UAV communication. So, Effective Traffic Control and Latency Minimization in Intelligent UAV-Enabled Wireless Sensor Networks (ETLIU) is concentrated. As the results of applying this model in UAV network an effective routing can get attained. The ETLIU model is implemented in NS2 and the results are calculated by using the metrics like end-to-end delay and routing overhead. From the final outcome it is proven that ETLIU model attained improved stability than baseline researches