Abstract
Using UAVs as mobile data ferries can amplify ground network performance by mitigating the impact of horizontal radio pollution on the environment. Designing an energy-efficient UAV communication with a randomly distributed ground sensors via enhancing the ground network structure dependent to the UAV path has been one of the challenges for the UAV-assisted WSN data gathering efforts. This paper aims at developing an approach called ‘UAV Fuzzy Travel Path’ that supports UAV smooth trajectory planning in gathering data of distributed wireless sensors over a large space. The dynamic orchestration of ground wireless sensors grouping has been considered in this paper for improving the network performance in data collection. This offers a more dynamic and flexible network that interact with the UAV planned path. Preliminary results of testbed simulations reflect that the proposed software define ground network system has presented promising outcomes in terms of network performances such as network latency and packet delivery rate. Further work is required for testing the scheme on a wider range of software defined WSN and UAV flight formations.
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