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面向机器人集群控制的轻量级Mesh广播算法研究

邓志吉 王明慧 杜龙 孟金 杨照辉 刘圣波 吕杨棋

物联网学报2026,Vol.10Issue(2):65-77,13.
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物联网学报2026,Vol.10Issue(2):65-77,13.DOI:10.11959/j.issn.2096-3750.WLW25111

面向机器人集群控制的轻量级Mesh广播算法研究

Research on a lightweight Mesh broadcasting algorithm for robot cluster control

邓志吉 1王明慧 2杜龙 3孟金 3杨照辉 4刘圣波 3吕杨棋3

作者信息

  • 1. 浙江大华技术股份有限公司,浙江 杭州 310051||浙江大学工程师学院,浙江 杭州 310022
  • 2. 全省视觉物联融合技术重点实验室,浙江 杭州 310051
  • 3. 浙江大华技术股份有限公司,浙江 杭州 310051
  • 4. 浙江大学信息与电子工程学院,浙江 杭州 310013
  • 折叠

摘要

Abstract

With the deep integration of the Internet of things(IoT)and robotics,constructing an efficient and reliable com-munication network has become a critical foundation for supporting collaborative operations of robots.Addressing the de-mands of low latency,high reliability,and lightweight design for communication networks in the dynamic and complex en-vironments of robot systems,a broadcast optimization algorithm based on neighbor information speculation was proposed,named speculative reception-based broadcasting(SRB).By introducing neighbor management and a speculative reception mechanism,issues inherent in traditional Flooding algorithms,such as"broadcast storms",redundant forwarding,and ex-cessive energy consumption,were effectively mitigated by the SRB algorithm.Periodically exchanged neighbor informa-tion among nodes was leveraged to infer whether their neighbors had already received the current data packet,thereby mak-ing intelligent forwarding decisions to avoid unnecessary retransmissions.The performance of the proposed algorithm was evaluated through simulations and a prototype system of robots.Experimental results demonstrate that SRB outperforms traditional Flooding algorithms in key metrics,including packet delivery ratio,end-to-end latency,and forwarding rate.

关键词

物联网/机器人/Mesh网络/泛洪算法

Key words

IoT/robot/Mesh network/Flooding algorithm

分类

信息技术与安全科学

引用本文复制引用

邓志吉,王明慧,杜龙,孟金,杨照辉,刘圣波,吕杨棋..面向机器人集群控制的轻量级Mesh广播算法研究[J].物联网学报,2026,10(2):65-77,13.

基金项目

中央引导地方科技发展资金资助项目(No.2024Y02002) (No.2024Y02002)

浙江省重点研发计划项目(No.2025C01065) The Central Guidance Fund for Local Science and Technology Development Projects(No.2024Y02002),The Key Research and Development Program of Zhejiang Province(No.2025C01065) (No.2025C01065)

物联网学报

2096-3750

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