SUSTAIN-6G

Task Offloading to the Edge for Critical and Resource-Demanding Tasks

Modern agriculture increasingly relies on advanced technologies, but processing data from sensors, drones, and machinery requires significant computing power. Equipping each vehicle with high-performance hardware is costly and energy-inefficient, especially when not used continuously.
A more efficient approach is task offloading to edge computing, where selected tasks are processed by shared edge resources instead of individual machines. This reduces energy consumption and hardware costs while still delivering the necessary performance for advanced agricultural applications.
The proposed use case illustrates how vehicles, edge platforms, and cloud servers can work together to support this model.

Functionality:
Multi-Access Edge Computing (MEC)

Maturity:

Location(s):
Germany

Vertical sector(s):
Smart Agriculture


replicable use case

This use case is replicable

Degree of replicability1:
37
1According to the Replicability Assessment Tool

High level of replicability : 61 < LR < 80

Good level of replicability: 31 < LR < 60

Low level of replicability: 00 < LR < 30


SUSTAIN-6G


Duration:

GA Number: 101191936

SNS JU Call (Stream):
Call 3
Stream B

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This tool has received funding from the European Union’s Horizon Europe Research and Innovation programme under the SNS ICE project (Grant Agreement No 101095841)