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JAG: Reliable and Predictable Wireless Agreement under External Radio Interference
University of Lübeck, Germany.
Delft University of Technology, The Netherlands.
University of Lübeck, Germany.
RISE, Swedish ICT, SICS, Computer Systems Laboratory. Uppsala University, Sweden.ORCID iD: 0000-0002-2586-8573
2012 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Wireless low-power transceivers used in sensor networks typically operate in unlicensed frequency bands that are subject to external radio interference caused by devices transmitting at much higher power.communication protocols should therefore be designed to be robust against such interference. A critical building block of many protocols at all layers is agreement on a piece of information among a set of nodes. At the MAC layer, nodes may need to agree on a new time slot or frequency channel, at the application layer nodes may need to agree on handing over a leader role from one node to another. Message loss caused by interference may break agreement in two different ways: none of the nodes uses the new information (time slot, channel, leader) and sticks with the previous assignment, or-even worse-some nodes use the new information and some do not. This may lead to reduced performance or failures. In this paper, we investigate the problem of agreement under external radio interference and point out the limitations of traditional message-based approaches. We propose JAG, a novel protocol that uses jamming instead of message transmissions to make sure that two neighbouring nodes agree, and show that it outperforms message-based approaches in terms of agreement probability, energy consumption, and time-to-completion. We further show that JAG can be used to obtain performance guarantees and meet the requirements of applications with real-time constraints.

Place, publisher, year, edition, pages
2012, 9. p. 315-326, article id 6424814
Keywords [en]
Acknowledgement, Agreement, Handshake, JAG, Jamming, Radio Interference, Two Generals' Problem, Wireless Sensor Networks
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:ri:diva-24064DOI: 10.1109/RTSS.2012.82Scopus ID: 2-s2.0-84874319524ISBN: 9780769548692 (print)OAI: oai:DiVA.org:ri-24064DiVA, id: diva2:1043143
Conference
33rd IEEE International Real-Time Systems Symposium (RTSS)
Projects
CONETReSenseAvailable from: 2016-10-31 Created: 2016-10-31 Last updated: 2023-06-08Bibliographically approved

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Voigt, Thiemo

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Citation style
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