1. Flying path optimization in UAV-assisted IoT sensor networks
- Author
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Sang-Jo Yoo, Jae-hyun Park, Su-hee Kim, and Anish Shrestha
- Subjects
Unmanned aerial vehicle ,Optimum flying path ,Utility function ,Genetic algorithm ,Information technology ,T58.5-58.64 - Abstract
In this paper, we present an optimal flying path for unmanned aerial vehicle-assisted internet of things sensor networks using a location aware multi-layer information map considering different utility functions based on the sensor density, energy consumption, flight time, and flying risk level. The overall weighted sum of multi-objective utility functions is maximized using the genetic algorithm. The simulation results verify that the optimum solution points can be obtained by adjusting the weights while satisfying the required constraints.
- Published
- 2016
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