Literature Database Entry

fernandez2019analysis


Z. Fernández, I. Val, M. Mendicute and E. Uhlemann, "Analysis and Evaluation of Self-Organizing TDMA for Industrial Applications," Proceedings of 2019 15th IEEE International Workshop on Factory Communication Systems (WFCS), Sundsvall, Sweden, May 2019, pp. 1–8.

Abstract

With the Industry 4.0 revolution, the inclusion of wireless communications with real-time requirements has been gaining popularity in industrial applications. As existing wireless technologies do not fully satisfy the stringent requirements of the most critical industrial applications, wired, centralized networks are often used. However, when the application requires mobility, there is no other way than to use wireless communications. Further, in applications where the topology changes dynamically and a large number of devices are mobile, centralized protocols are less suitable. Unfortunately, most decentralized medium access protocols are not predictable, and thereby not able to fulfil the real-time requirements. To address these challenges, in this paper Self-Organizing Time Division Multiple Access (STDMA) is analysed to assess its suitability for use in industrial applications. The analysis has been carried out through simulations under a multipath dispersed time-variant industrial channel while subject to a variable Doppler shift. To this end, several metrics such as channel access delay, slot occupation distribution (SOD), packet losses and packet inter-arrival time (PIAT) have been evaluated, using OMNeT++ in combination with the VEINS framework.

Quick access

Original Version DOI (at publishers web site)
BibTeX BibTeX

Contact

Z. Fernández
I. Val
M. Mendicute
E. Uhlemann

BibTeX reference

@inproceedings{fernandez2019analysis,
    address = {Sundsvall, Sweden},
    author = {Fern{\'{a}}ndez, Z. and Val, I. and Mendicute, M. and Uhlemann, E.},
    booktitle = {2019 15th IEEE International Workshop on Factory Communication Systems (WFCS)},
    doi = {10.1109/WFCS.2019.8758039},
    month = {5},
    pages = {1--8},
    publisher = {Institute of Electrical and Electronics Engineers},
    title = {{Analysis and Evaluation of Self-Organizing TDMA for Industrial Applications}},
    year = {2019},
   }
   
   

Copyright notice

Links to final or draft versions of papers are presented here to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted or distributed for commercial purposes without the explicit permission of the copyright holder.

The following applies to all papers listed above that have IEEE copyrights: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

The following applies to all papers listed above that are in submission to IEEE conference/workshop proceedings or journals: This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.

The following applies to all papers listed above that have ACM copyrights: ACM COPYRIGHT NOTICE. Permission to make digital or hard copies of part or all 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, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept., ACM, Inc., fax +1 (212) 869-0481, or permissions@acm.org.

The following applies to all SpringerLink papers listed above that have Springer Science+Business Media copyrights: The original publication is available at www.springerlink.com.

This page was automatically generated using BibDB and bib2web.