RF-Zero-Wire: Design and Analysis of Multihop Low-Latency Symbol-Synchronous RF Communication

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Authors: Xinlei Liu, Andrey Belogaev, Jonathan Oostvogels, Bingwu Fang, Prof. Dr. Danny Hughes, Jeroen Famaey
Cited by: 0
References: 47

Abstract

The latency gap between wired and wireless networks poses a challenge in the adoption of wireless technologies in latency-sensitive scenarios. The gap is especially notable in multi-hop communication typical for industrial sensor networks and robotic swarms. The main reason behind it is that commonly used wireless protocols rely on store-and-forward routing and costly overhead procedures to avoid interference. This article introduces RF-Zero-Wire, an RF-based symbol-synchronous communication protocol. Instead of relaying the whole frame per hop in a store-and-forward manner, nodes concurrently relay the frame symbol by symbol, without the need for tight time synchronization. Based on data collected in real-world experiments, we reveal that the inevitable carrier frequency offsets (CFOs) introduced by imperfect crystal oscillators cause a beating effect under concurrent symbol transmissions. This is characterized by periodic constructive and destructive interference, which significantly affects reliability. Subsequently, a thorough simulation study shows how the beating problem can be overcome with error correction codes. RF-Zero-Wire allows achieving an end-to-end latency of less than 1 ms for a small 4-byte frame transmitted across 5 hops. Moreover, latency is shown to increase only by 0.16% per extra hop for 16-byte frames, which is negligible compared to the over 100% per-hop latency increase observed in store-and-forward protocols. The trade-offs between network reliability and CFO range, communication distance, node density, and achievable data rate are studied in large-scale experiments based on simulation.

Fields of Study & Subjects

Optical Wireless Communication Technologies Energy Efficient Wireless Sensor Networks IoT Networks and Protocols

Publication details

Journal / source
IEEE Internet of Things Journal
Volume
13
Issue
7
Pages
13211–13228
Publication date
19 January 2026
Language
EN