research-article

Adaptive instantiation of the protocol interference model in wireless networked sensing and control

Authors:

Xi JuAuthors Info & Claims

ACM Transactions on Sensor Networks (TOSN), Volume 10, Issue 2

Article No.: 28, Pages 1 - 48

https://doi.org/10.1145/2530286

Published: 31 January 2014 Publication History

Abstract

Interference model is the basis of MAC protocol design in wireless networked sensing and control, and it directly affects the efficiency and predictability of wireless messaging. To exploit the strengths of both the physical and the protocol interference models, we analyze how network traffic, link length, and wireless signal attenuation affect the optimal instantiation of the protocol model. We also identify the inherent trade-off between reliability and throughput in the model instantiation. Our analysis sheds light on the open problem of efficiently optimizing the protocol model instantiation. Based on the analytical results, we propose the physical-ratio-K (PRK) interference model as a reliability-oriented instantiation of the protocol model. Via analysis, simulation, and testbed-based measurement, we show that PRK-based scheduling achieves a network throughput very close to (e.g., 95%) what is enabled by physical-model-based scheduling while ensuring the required packet delivery reliability. The PRK model inherits both the high fidelity of the physical model and the locality of the protocol model, thus it is expected to be suitable for distributed protocol design. These findings shed new light on wireless interference models; they also suggest new approaches to MAC protocol design in the presence of uncertainties in network and environmental conditions as well as application QoS requirements.

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Index Terms

Adaptive instantiation of the protocol interference model in wireless networked sensing and control
1. Hardware
  1. Communication hardware, interfaces and storage
2. Networks

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cover image ACM Transactions on Sensor Networks

ACM Transactions on Sensor Networks Volume 10, Issue 2

January 2014

609 pages

ISSN:1550-4859

EISSN:1550-4867

DOI:10.1145/2575808

Issue’s Table of Contents

Copyright © 2014 ACM.

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ACM Journals for the Design of Smart and Connected Systems

Publication History

Published: 31 January 2014

Accepted: 01 March 2013

Revised: 01 August 2012

Received: 01 October 2011

Published in TOSN Volume 10, Issue 2

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https://doi.org/10.1109/ICPS59941.2024.10640005
Chen WGuan QYu HJi FChen F(2021)Medium Access Control Under Space-Time Coupling in Underwater Acoustic NetworksIEEE Internet of Things Journal10.1109/JIOT.2021.30634628:15(12398-12409)Online publication date: 1-Aug-2021
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Xie YZhang HRen P(2021)Unified scheduling for predictable communication reliability in cellular networks with D2D LinksComputer Communications10.1016/j.comcom.2020.12.012167(1-14)Online publication date: Feb-2021
https://doi.org/10.1016/j.comcom.2020.12.012
Fan XLiu DFu BWen S(2021)Optimal relay selection for UAV-assisted V2V communicationsWireless Networks10.1007/s11276-021-02644-9Online publication date: 21-May-2021
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Li CZhang HZhang TRao JWang LYin G(2020)Cyber-Physical Scheduling for Predictable Reliability of Inter-Vehicle CommunicationsIEEE Transactions on Vehicular Technology10.1109/TVT.2020.296859169:4(4192-4206)Online publication date: Apr-2020
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Ouyang MShi WZhang RLiu W(2019)Optimal interference range for minimum Bayes risk in binomial and Poisson wireless networksEURASIP Journal on Wireless Communications and Networking10.1186/s13638-019-1585-z2019:1Online publication date: 6-Nov-2019
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