Network Traffic/Resource Management TRIZ Cases

Datagram-based UAV location monitoring enables real-time risk assessment and boundary display using existing communication links.

Datagrams carrying UAV and control-station locations improve identification accuracy and enable real-time risk assessment without changing links.

Spatial obstruction databases help drones evaluate line-of-sight links, place relay nodes, and maintain reliable navigation and communication.

Planned route data from the UTM lets the cellular network prepare UAV connections and handovers in advance, reducing radio link failures.

Map-based access point selection lets robots roam without channel scanning delays, preserving data flow and connection quality.

Wireless link quality is detected to adapt control and communication parameters, keeping distributed control stable and efficient.

A central controller uses state vectors and reward-based actions to adapt manufacturing Wi-Fi access points under congestion and interference.

A mobile relay uses radio intensity thresholds and a layout map to maintain indoor wireless coverage after layout changes without site surveys.

Delay-aware service allocation matches each in-vehicle device to a wireless path that fits its allowable delay and reduces missed timing limits.

Location datagrams sent alongside UAV working data let nearby detectors identify the aircraft or control station with less processing.

When server links fail, a mobile RAN robot keeps QoS by processing workloads locally and relocating to stronger network positions.

Deep reinforcement learning and matching theory cut AoI in UAV-assisted IoT collection while reducing path-planning and coordination complexity.

Master-slave UAV clustering cuts communication channels to fit wireless bandwidth while keeping large drone swarms stable and coordinated.

Scheduled V2V message timing lets platooning vehicles detect lost transmissions immediately and adjust send order without larger packets or extra memory.

Portable radio units on unmanned vehicles extend rural coverage and edge capacity while avoiding high fiber deployment costs.

Paired UAVs share signal parameters and switch reply roles to keep cellular base station links robust during flight changes.

Operation-state recognition cuts low-priority environment data more than critical factors, easing communication load without obscuring the work machine environment.

Multiple QoS flows let a control server match each wireless control command to current congestion and task needs, reducing radio resource waste.

Movement-based gateway selection reserves radio resources before handover to reduce QoS disruption for autonomous mobile devices.

An IoT platform uses map and network data to coordinate PC5 and Uu switching, avoiding repeated platoon handovers in weak or congested V2X zones.

A dedicated tag enables symbol-level packet pre-emption in industrial wireless links, cutting high-priority packet latency to microseconds.

When coverage drops in critical areas, a control device repositions mobile base stations to restore communication quality without adding fixed sites.

When backhaul links fail, autonomous mobile RAN nodes switch to local workload processing and relocate to restore connectivity and QoS.

Shared sensor data across mesh-connected pumps detects leaks and flow imbalances early, enabling fast pump adjustments in fluid networks.