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Authors: Tahir Mahmood and Kamran Munir

Affiliation: Department of Computer Science and Creative Technologies, Faculty of Environment and Technology, University of the West of England, Bristol, BS16 1QY, U.K.

ISBN: 978-989-758-426-8

Keyword(s): Predictive Maintenance, Telecom, IoT, Big Data, Prediction Model.

Abstract: Telecom sector has always been working hard to improve network quality to satisfy end user services. Fixing telecom network errors (hardware and software) precisely and quickly is a main factor to improve quality of services. Telecom operators are spending a lot of budget on ad hoc maintenance to fix these errors. This paper presents a framework using internet of things (IoT) and big data to enable predictive and preventive maintenance, which have been applied in the telecom sector. A telecom network consists of radio nodes, transport network, switching centres and civil infrastructure; and in this paper, focus is on the maintenance of Radio Access Network (RAN). A challengeable task for telecom operators has been to maintain radio nodes as these are installed on different locations. This framework for predictive maintenance is modelled using active and historical data from telecom equipment as well as data collected from IoT devices and sensors. The major benefit of implementing this framework has been a control on the time and cost of the maintenance by pre-planning maintenance activities and related budget. (More)

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Paper citation in several formats:
Mahmood, T. and Munir, K. (2020). Enabling Predictive and Preventive Maintenance using IoT and Big Data in the Telecom Sector.In Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS, ISBN 978-989-758-426-8, pages 169-176. DOI: 10.5220/0009325201690176

@conference{iotbds20,
author={Tahir Mahmood. and Kamran Munir.},
title={Enabling Predictive and Preventive Maintenance using IoT and Big Data in the Telecom Sector},
booktitle={Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,},
year={2020},
pages={169-176},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009325201690176},
isbn={978-989-758-426-8},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,
TI - Enabling Predictive and Preventive Maintenance using IoT and Big Data in the Telecom Sector
SN - 978-989-758-426-8
AU - Mahmood, T.
AU - Munir, K.
PY - 2020
SP - 169
EP - 176
DO - 10.5220/0009325201690176

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