research-article

Dimensioning and worst-case analysis of cluster-tree sensor networks

Authors:

Ricardo Severino,

Eduardo TovarAuthors Info & Claims

ACM Transactions on Sensor Networks (TOSN), Volume 7, Issue 2

Article No.: 14, Pages 1 - 47

https://doi.org/10.1145/1824766.1824770

Published: 08 September 2010 Publication History

Abstract

Modeling the fundamental performance limits of Wireless Sensor Networks (WSNs) is of paramount importance to understand their behavior under the worst-case conditions and to make the appropriate design choices. This is particular relevant for time-sensitive WSN applications, where the timing behavior of the network protocols (message transmission must respect deadlines) impacts on the correct operation of these applications. In that direction this article contributes with a methodology based on Network Calculus, which enables quick and efficient worst-case dimensioning of static or even dynamically changing cluster-tree WSNs where the data sink can either be static or mobile. We propose closed-form recurrent expressions for computing the worst-case end-to-end delays, buffering and bandwidth requirements across any source-destination path in a cluster-tree WSN. We show how to apply our methodology to the case of IEEE 802.15.4/ZigBee cluster-tree WSNs. Finally, we demonstrate the validity and analyze the accuracy of our methodology through a comprehensive experimental study using commercially available technology, namely TelosB motes running TinyOS.

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https://doi.org/10.1007/978-981-19-9331-2_38
Rani PSharma A(2021)Linear Scalable Routing Protocol for Wireless Sensor NetworkIOP Conference Series: Materials Science and Engineering10.1088/1757-899X/1057/1/0120941057:1(012094)Online publication date: 1-Feb-2021
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Dimensioning and worst-case analysis of cluster-tree sensor networks

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cover image ACM Transactions on Sensor Networks

ACM Transactions on Sensor Networks Volume 7, Issue 2

August 2010

297 pages

ISSN:1550-4859

EISSN:1550-4867

DOI:10.1145/1824766

Issue’s Table of Contents

Copyright © 2010 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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ACM Journals for the Design of Smart and Connected Systems

Publication History

Published: 08 September 2010

Accepted: 01 March 2010

Revised: 01 June 2009

Received: 01 October 2008

Published in TOSN Volume 7, Issue 2

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Ali G(2023)Cluster-Based Interference-Aware TDMA Scheduling in Wireless Sensor NetworksProceedings of International Conference on Information Technology and Applications10.1007/978-981-19-9331-2_38(449-458)Online publication date: 19-May-2023
https://doi.org/10.1007/978-981-19-9331-2_38
Rani PSharma A(2021)Linear Scalable Routing Protocol for Wireless Sensor NetworkIOP Conference Series: Materials Science and Engineering10.1088/1757-899X/1057/1/0120941057:1(012094)Online publication date: 1-Feb-2021
https://doi.org/10.1088/1757-899X/1057/1/012094
Holtman Kvan der Stok P(2019)Real-time routing and retry strategies for low-latency 802.15.4 control networksACM SIGBED Review10.1145/2095256.20952618:4(35-42)Online publication date: 26-Feb-2019
https://dl.acm.org/doi/10.1145/2095256.2095261
Lino MVasconcelos VIan ALeao ESoares AMontez C(2019)An Efficient Mechanism to Improve Convergecast Traffic in Cluster-tree Wireless Sensor Networks Based on IEEE 802.15.4IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society10.1109/IECON.2019.8927736(2811-2816)Online publication date: Oct-2019
https://doi.org/10.1109/IECON.2019.8927736
Leao EVasconcelos VPortugal PMontez CMoraes R(2018)A Hybrid Beacon Scheduling Scheme to Allow the Periodic Reconfiguration of Large-scale Cluster-tree WSNs2018 IEEE 16th International Conference on Industrial Informatics (INDIN)10.1109/INDIN.2018.8472110(169-174)Online publication date: Jul-2018
https://doi.org/10.1109/INDIN.2018.8472110
Kurunathan HSeverino RKoubaa ATovar E(2018)IEEE 802.15.4e in a Nutshell: Survey and Performance EvaluationIEEE Communications Surveys & Tutorials10.1109/COMST.2018.280089820:3(1989-2010)Online publication date: Nov-2019
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Leão EMontez CMoraes RPortugal PVasques F(2017)Alternative Path Communication in Wide-Scale Cluster-Tree Wireless Sensor Networks Using Inactive PeriodsSensors10.3390/s1705104917:5(1049)Online publication date: 6-May-2017
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Schmitt JBondorf SPoe W(2017)The Sensor Network Calculus as Key to the Design of Wireless Sensor Networks with Predictable PerformanceJournal of Sensor and Actuator Networks10.3390/jsan60300216:3(21)Online publication date: 12-Sep-2017
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