A Minmax Utilization Algorithm for Network Traffic Scheduling of Industrial Robots

  title={A Minmax Utilization Algorithm for Network Traffic Scheduling of Industrial Robots},
  author={Yantong Wang and Vasilis Friderikos and Sebastian Andraos},
  journal={ICC 2022 - IEEE International Conference on Communications},
Emerging 5G and beyond wireless industrial virtualized networks are expected to support a significant number of robotic manipulators. Depending on the processes involved, these industrial robots might result in significant volume of multi-modal traffic that will need to traverse the network all the way to the (public/private) edge cloud, where advanced processing, control and service orchestration will be taking place. In this paper, we perform the traffic engineering by capitalizing on the… 

Figures and Tables from this paper

Towards 5G-Aware Robot Planning for Industrial Applications

A review of robot planning algorithms suitable for industrial use-cases, which consider communication aspects in the planning formulation is provided, followed by an analysis of key challenges to be targeted at the intersection of 5G, Industry 4.0 and multi-agent robot planning.

Interference Aware Path Planning for Mobile Robots in mmWave Multi Cell Networks

A wide set of numerical investigations reveal that the proposed path planning optimization approach for the mmWave connected mobile robots can improve the overall achievable throughput by up to 31% compared to an interference oblivious scheme, without penalizing the overall travelling time.



Subtask Scheduling for Distributed Robots in Cloud Manufacturing

A CMF scheduling model for efficiently exploiting distributed resources, so industrial robots in different enterprises can cooperatively handle a batch of tasks and three subtask-scheduling strategies are derived for three optimization objectives, including load-balance of robots, minimizing overall cost, and minimizing overall processing time.

Environment-motivated real-time bandwidth allocation for collaborative robots teleoperation

The importance of this work is that it captures the dynamics of the robotic swarm's surrounding environment in real-time, and uses it as an input to a Fuzzy Interference system which continuously updates a weight matrix `M' reflecting the importance of each IE and the change in QoC in the bandwidth allocation problem.

QoS-Aware Robotic Streaming Workflow Allocation in Cloud Robotics Systems

This paper proposes a QoS-aware RSW allocation algorithm for NCR with joint optimization of latency, energy efficiency, and cost, while considering the characteristics of both RSW and NCR, and develops a heuristic algorithm to obtain a near-optimal solution.

Multi-Robot Task Sequencing & Automatic Path Planning for Cycle Time Optimization: Application for Car Production Line

This letter proposes a fast algorithm that generates a sequenced near-optimal solution for Multi-Robotic Task Sequencing Problem ‘min(sum-max) MGTSP’ model, and performs a double optimization in both the task and configuration space.

Utilizing 5G in Industrial Robotic Applications

Why 5G technology can make a significant contribution to enable new types of industrial robotics applications is described and various use cases are presented and simulation results of a 5G-based robotics application in an industrial environment are discussed.

Distributed and Communication-Aware Coalition Formation and Task Assignment in Multi-Robot Systems

The sensitivity of complex missions to failure-prone MRS communication is demonstrated and robust, effective, and communication-aware methods for coalition formation and task assignment are provided.

Synthesis of Queue and Priority Assignment for Asynchronous Traffic Shaping in Switched Ethernet

This paper introduces and solves the UBS synthesis problem of assigning hard real-time data flows to queues and priorities to queues, the main parameters that determine communication latencies.

Enhancing Schedulability and Throughput of Time-Triggered Traffic in IEEE 802.1Qbv Time-Sensitive Networks

A simple hardware enhancement of a switch along with a relaxed scheduling constraint is proposed that increases schedulability and throughput of the time-triggered traffic but maintains the deterministic nature and timeliness guarantees in a TSN network.

Distributed Adaptive Cooperative Control With Fault Compensation Mechanism for Heterogeneous Multi-Robot System

The stability and the robustness of the proposed scheme against bounded time-varying faults are proven using rigorous Lyapunov analysis, and the proposed control strategy exempts the use of an observer or estimator, thereby simplifies the synthesis and implementation on mobile robots.

Adaptive Flower Pollination Algorithm-Based Energy Efficient Routing Protocol for Multi-Robot Systems

This work presents a communication strategy by using adaptive flower pollination optimization algorithm for MRS in conjunction with simultaneous localization and mapping (SLAM) technique for navigation and map making to ensure that the maximum energy can be used for navigation.