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The Allocation in Cognitive Radio Network: Combined Genetic Algorithm and ON/OFF Primary User Activity Models Read chapter Read first chapter

2017 | OriginalPaper | Chapter

MDE-Based Languages for Wireless Sensor Networks Modeling: A Systematic Mapping Study

Authors : Fatima Essaadi, Yann Ben Maissa, Mohammed Dahchour

Published in: Advances in Ubiquitous Networking 2

Publisher: Springer Nature Singapore

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Abstract

Wireless Sensor Networks (WSNs) are ubiquitous systems of small devices equipped with sensors that collaborate to sense physical quantities in an area. However, the design constraints, the behavior requirements and the error prone nature, make the development of WSNs and their deployment an extremely challenging task. The Model Driven Engineering (MDE) approach helps tackling these issues by using models and automatic transformation to generate code or analyze WSNs against their requirements. In this paper, we propose a systematic mapping study which presents the existing WSNs MDE-based modeling languages. We surveyed a total of 1852 papers from which we selected 21 languages satisfying 7 selection criteria. We analyze these languages according to 5 rigorous research questions and 12 comparative criteria. Then we provide a precise view on the existing languages and their weaknesses mainly regarding mobility and data fusion. Finally, we propose research directions and recommendations for aspiring languages developers.

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Metadata
Title
MDE-Based Languages for Wireless Sensor Networks Modeling: A Systematic Mapping Study
Authors
Fatima Essaadi
Yann Ben Maissa
Mohammed Dahchour
Copyright Year
2017
Publisher
Springer Nature Singapore
Book
Advances in Ubiquitous Networking 2

Print ISBN: 978-981-10-1626-4

Electronic ISBN: 978-981-10-1627-1

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-981-10-1627-1_26