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- Title
UAV-assisted data gathering from a sparse wireless sensor adaptive networks.
- Authors
Karegar, Pejman A.; Al-Anbuky, Adnan
- Abstract
Using UAVs as mobile data capturing agents can enhance ground network performance by reducing the horizontal radio pollution in environments such as animal sanctuaries or conservations. This may also reduce signal interferences and positively improve energy expenditure of both UAV and sensor nodes (SN) on the ground. Designing an energy-efficient UAV communication with a randomly distributed ground sensors via enhancing the UAV's trajectory has been one of the challenges for the UAV-assisted WSN data gathering efforts. This paper aims at conceptualizing an approach called 'UAV Fuzzy Travel Path' that supports UAV smooth trajectory planning and facilitates ground network re-orchestration for data gathering effort from spatially dispersed wireless sensors over a large space. A more relaxed fuzzy route with reduced number of rapid turnings is proposed to minimize the UAV energy expenditure for each planned mission. A softwarised gateway-capable communication network system is also characterised enabling data capturing functionality based on a specified communication window of time. Preliminary results of testbed simulations show that the proposed approach gains a 25 percent energy efficiency improvement and at the same time between 5 and 25 percent growth in the number of served sensor nodes compared with the benchmark schemes. Further work is required for testing the scheme on various scalable software defined WSN and UAV flight formations.
- Subjects
WIRELESS sensor networks; ANIMAL sanctuaries; DISTRIBUTED sensors; WILDLIFE conservation; FORMATION flying; DRONE aircraft
- Publication
Wireless Networks (10220038), 2023, Vol 29, Issue 3, p1367
- ISSN
1022-0038
- Publication type
Article
- DOI
10.1007/s11276-022-03194-4