Space monitoring in precision agriculture

Manuylova, N B; Bulychev, S. N.

doi:10.1088/1755-1315/1154/1/012043

Cited by 1 publication

(1 citation statement)

References 8 publications

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“… Precision agriculture: UAVs equipped with sensors (such as LiDAR scanners, multi-spectral cameras, and thermal imaging devices) can capture high-resolution data on crop health, soil moisture levels, pest infestations, and other vital agronomic parameters [ 70 ]. By offloading computational tasks to edge servers, farmers can make timely decisions regarding fertilization, irrigation, and pest control, optimizing crop yield and resource utilization [ 71 ]. Smart cities: A UAV-aided MEC system is a transformative solution for addressing various urban challenges and enhancing the quality of life for residents.…”

Section: Background Studymentioning

confidence: 99%

Trajectory-Aware Offloading Decision in UAV-Aided Edge Computing: A Comprehensive Survey

Baidya,

Nabi,

Moh

2024

Sensors

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Recently, the integration of unmanned aerial vehicles (UAVs) with edge computing has emerged as a promising paradigm for providing computational support for Internet of Things (IoT) applications in remote, disaster-stricken, and maritime areas. In UAV-aided edge computing, the offloading decision plays a central role in optimizing the overall system performance. However, the trajectory directly affects the offloading decision. In general, IoT devices use ground offload computation-intensive tasks on UAV-aided edge servers. The UAVs plan their trajectories based on the task generation rate. Therefore, researchers are attempting to optimize the offloading decision along with the trajectory, and numerous studies are ongoing to determine the impact of the trajectory on offloading decisions. In this survey, we review existing trajectory-aware offloading decision techniques by focusing on design concepts, operational features, and outstanding characteristics. Moreover, they are compared in terms of design principles and operational characteristics. Open issues and research challenges are discussed, along with future directions.

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