Robotics & Machine Learning Daily News2024,Issue(Mar.4) :30-31.DOI:10.1109/JIOT.2023.3283549

Studies from Army Engineering University Reveal New Findings on Robotics (Aoi Minimization Scheme for Short-packet Communications In Energy-constrained Iiot)

Robotics & Machine Learning Daily News2024,Issue(Mar.4) :30-31.DOI:10.1109/JIOT.2023.3283549

Studies from Army Engineering University Reveal New Findings on Robotics (Aoi Minimization Scheme for Short-packet Communications In Energy-constrained Iiot)

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Abstract

Investigators discuss new findings in Robotics. According to news reporting out of 30 Nanjing, People’s Republic of China, by NewsRx editors, research stated, “This article is motivated by the requirement of high information freshness in the industrial Internet of Things (IIoT). An industrial robot sends short status packets to a control center (CC), and the timeliness of status updates is measured by the Age of Information (AoI).” Financial support for this research came from National Natural Science Foundation of China (NSFC). Our news journalists obtained a quote from the research from Army Engineering University, “Due to the dynamic change of the wireless channel, the robot needs to send a pilot for channel estimation during each coherence time. Considering the robot is energy-limited, we investigate the average AoI minimization scheme for short-packet communications under the average power consumption constraint. By rationally analyzing state transitions, we first formulate the problem as a constrained Markov decision process and obtain the optimal solution through linear programming (LP). Then, for the problem of high computational complexity caused by too many variables in LP, we propose a heuristic threshold-based status update scheme by exploiting the threshold structure of the optimal solution. Simulation results show that the LP scheme can effectively minimize the average AoI and the threshold-based scheme can achieve near-optimal performance.”

Key words

Nanjing/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Robot/Robotics/Army Engineering University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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