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Author: Assel Akzhalova

Affiliation: Kazakh-British Technical University, Kazakhstan

Keyword(s): Model-Driven, QoS, Optimal, Policy.

Abstract: The key idea of this article is to apply Model-Driven QoS-aware approach to the wireless sensor network that are controlled by the network of ”smart” controllers. The sensors are connected via SPI interface to the controllers installed at the oil wells in order to provide smooth data collection and transmission to meet quality of service requirements. One of the new approaches to implement decentralized adaptation technique, in particular, self-organizing transmission system. The self-organizing system control is entirely dependent on the decision taken at the local level, i.e at the level of system components. However, it is hard to reach global attainability of Quality of Service (QoS) requirements at run-time. In our work, we propose Model-Driven Architecture, the meta-model and its semantics, as the basis for an adaptation framework. The adaptation is realized as an automatic transformation through the policy generation.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Akzhalova, A. (2014). Model-Driven QoS-aware Approach for the Sensor Network. In Proceedings of the Fourth International Symposium on Business Modeling and Software Design - BMSD; ISBN 978-989-758-032-1, SciTePress, pages 113-122. DOI: 10.5220/0005424901130122

@conference{bmsd14,
author={Assel Akzhalova.},
title={Model-Driven QoS-aware Approach for the Sensor Network},
booktitle={Proceedings of the Fourth International Symposium on Business Modeling and Software Design - BMSD},
year={2014},
pages={113-122},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005424901130122},
isbn={978-989-758-032-1},
}

TY - CONF

JO - Proceedings of the Fourth International Symposium on Business Modeling and Software Design - BMSD
TI - Model-Driven QoS-aware Approach for the Sensor Network
SN - 978-989-758-032-1
AU - Akzhalova, A.
PY - 2014
SP - 113
EP - 122
DO - 10.5220/0005424901130122
PB - SciTePress