Harmony: Saving Concurrent Transmissions from Harsh RF Interference

Xiaoyuan Ma, Peilin Zhang, Ye Liu, Carlo Alberto Boano, Hyung-Sin Kim, Jianming Wei, Jun Huang

Publikation: KonferenzbeitragPaper

Abstract

The increasing congestion of the RF spectrum is a key challenge for low-power wireless networks using concurrent transmissions. The presence of radio interference can indeed undermine their dependability, as they rely on a tight synchronization and incur a significant overhead to overcome packet loss. In this paper, we present Harmony, a new data collection protocol that exploits the benefits of concurrent transmissions and embeds techniques to ensure a reliable and timely packet delivery despite highly congested channels. Such techniques
include, among others, a data freezing mechanism that allows to successfully deliver data in a partitioned network as well as the use of network coding to shorten the length of packets and increase the robustness to unreliable links. Harmony also introduces a distributed interference detection scheme that allows
each node to activate various interference mitigation techniques only when strictly necessary, avoiding unnecessary energy expenditures while finding a good balance between reliability and timeliness. An experimental evaluation on real-world testbeds shows that Harmony outperforms state-of-the-art protocols in
the presence of harsh Wi-Fi interference, with up to 50% higher delivery rates and significantly shorter end-to-end latencies, even when transmitting large packets.
Originalspracheenglisch
Seiten1
Seitenumfang10
PublikationsstatusVeröffentlicht - 6 Jul 2020
VeranstaltungIEEE International Conference on Computer Communications (INFOCOM) - Virtual Conference, Toronto, Kanada
Dauer: 6 Jul 20209 Jul 2020
https://infocom2020.ieee-infocom.org/

Konferenz

KonferenzIEEE International Conference on Computer Communications (INFOCOM)
LandKanada
OrtToronto
Zeitraum6/07/209/07/20
Internetadresse

Fields of Expertise

  • Information, Communication & Computing

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