Dynamic Cooperative Communications with Mutual Information Accumulation for Mobile Robots in Industrial Internet of Things
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View abstract on PubMed
Summary
This summary is machine-generated.This study introduces a dynamic cooperative transmission algorithm for mobile robots in the industrial Internet of Things (IIoT). The algorithm enhances communication efficiency and reduces delay by using rateless coding and mutual information accumulation.
Area Of Science
- Robotics
- Wireless Communication
- Industrial Internet of Things (IIoT)
Background
- Mobile robots are crucial for the Industrial Internet of Things (IIoT), requiring robust cloud communication.
- Existing multi-hop communication methods face challenges due to robot mobility and delay sensitivity.
Purpose Of The Study
- To develop a novel algorithm addressing communication challenges for mobile robots in IIoT environments.
- To improve communication reliability and reduce latency for mobile robots operating in dynamic factory settings.
Main Methods
- Proposed a dynamic cooperative transmission algorithm incorporating mutual information accumulation.
- Utilized rateless coding to mitigate retransmission delays in poor channel conditions.
- Implemented a two-step dynamic algorithm for efficient routing path determination with low time complexity.
Main Results
- The proposed algorithm effectively handles the mobility and delay sensitivity of mobile robots.
- Rateless coding and mutual information accumulation significantly reduce communication delays.
- Simulation results demonstrate superior performance compared to existing heuristic algorithms in terms of delay.
Conclusions
- The dynamic cooperative transmission algorithm offers a significant improvement for mobile robot communication in IIoT.
- The algorithm's efficiency in reducing delay makes it suitable for time-sensitive industrial applications.
- This research contributes to more reliable and efficient industrial automation through enhanced robot-cloud connectivity.
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