Design and Development of UAV for Challange faced for Data Muling problem In Path

Abstract

In order to evaluate the utility of using UAVs for the ongoing collection of sensor readings from sensor nodes situated throughout an environment and their delivery to base stations for additional processing, this paper addresses the problem of traffic engineering in Internet of Things (IoT) settings. UAV allocation and persistent path planning model has been proposed in this paper, where data from ground sensors is gathered by a group of heterogeneous UAVs from different base stations, and the information is then sent to the base stations that are nearest to the sensors. This issue has been mathematically shown to be nondeterministic polynomial hard as a model of constrained real-time optimization. In this research, a heuristic solution to the issue is put forth, and its relative effectiveness is assessed by experiments on both synthetic and actual sensor networks, utilising various UAV settings.