Increasing communication reliability in manufacturing environments

Radenkovic, Milena and Kostadinov, Ivaylo and Wietrzyk, Bartosz (2015) Increasing communication reliability in manufacturing environments. In: 2015 International Wireless Communications and Mobile Computing Conference (IWCMC), 24-28 August, 2015, Dubrovnik, Croatia.

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This paper is concerned with low cost mechanisms that can increase reliability of machine to machine and machine to cloud communications in increasingly complex manufacturing environments that are prone to disconnections and faults. We propose a novel distributed and cooperative sensing framework that supports localized real time predictive analytics of connectivity patterns and detection of a range of faults together with issuing of notifications and responding on demand queries. We show that our Fault and Disconnection Aware Smart Sensing (FDASS) framework achieves significantly lower packet loss rates and communication delays in the face of unreliable nodes and networks when compared to the state of the art and benchmark approaches.

Item Type: Conference or Workshop Item (Paper)
Additional Information: © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Published in: 2015 International Wireless Communications and Mobile Computing Conference (IWCMC 2015): Dubrovnik, Croatia, 24 - 28 August 2015, p. 1377-1383.ISBN 9781479953431, doi: 10.1109/IWCMC.2015.7289283
Keywords: Opportunistic Networks, Ad hoc networks, Self-organized networks
Schools/Departments: University of Nottingham UK Campus > Faculty of Science > School of Computer Science
Identification Number:
Depositing User: Radenkovic, Milena
Date Deposited: 14 Jun 2016 09:50
Last Modified: 13 Sep 2016 19:08

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