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10.1145/2502524.2502574acmconferencesArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
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PRK-based scheduling for predictable link reliability in wireless networked sensing and control

Published: 08 April 2013 Publication History

Abstract

Despite decades of research on interference-oriented channel access scheduling, most existing literature are either based on the physical interference model or the protocol interference model, neither of which is a good foundation for distributed interference control in the presence of uncertainties [2]. To address the issue, Che et al. [2] have identified the physical-ratio-K (PRK) interference model that integrates the protocol model's locality with the physical model's high-fidelity. Given a transmission from a node S to another node R, a concurrent transmitter C is regarded as not interfering with the reception at R in the PRK model if and only if P(C, R) < P(S,R)/KS,R,TS,R, where P(C, R) and P(S, R) is the strength of signals reaching R from C and S respectively, KS,R,TS,R is the minimum real number chosen such that, in the presence of interference from all concurrent transmitters, the probability for R to successfully receive packets from S is no less than the minimum link reliability TS,R required by applications (e.g., control algorithms).

References

[1]
X. Che, X. Ju, and H. Zhang. The case for addressing the limiting impact of interference on wireless scheduling. In IEEE ICNP, 2011.
[2]
X. Che, X. Liu, X. Ju, and H. Zhang. Adaptive instantiation of the protocol interference model in mission-critical wireless networks. In IEEE SECON, 2010.

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  • (2016)Experimental Analysis of Cluster-Based Multi-Channel Mechanism for Inter-Vehicle Safety Warning Message TransmissionJournal of Communications10.12720/jcm.11.1.33-41Online publication date: 2016
  1. PRK-based scheduling for predictable link reliability in wireless networked sensing and control

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    cover image ACM Conferences
    ICCPS '13: Proceedings of the ACM/IEEE 4th International Conference on Cyber-Physical Systems
    April 2013
    278 pages
    ISBN:9781450319966
    DOI:10.1145/2502524

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    New York, NY, United States

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    Published: 08 April 2013

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    • (2016)Experimental Analysis of Cluster-Based Multi-Channel Mechanism for Inter-Vehicle Safety Warning Message TransmissionJournal of Communications10.12720/jcm.11.1.33-41Online publication date: 2016

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