A model-driven engineering framework for architecting and analysing Wireless Sensor Networks

Doddapaneni, Krishna, Ever, Enver, Gemikonakli, Orhan ORCID: https://orcid.org/0000-0002-0513-1128, Malavolta, Ivano, Mostarda, Leonardo and Muccini, Henry (2012) A model-driven engineering framework for architecting and analysing Wireless Sensor Networks. Proceedings of the Third International Workshop on Software Engineering for Sensor Network Applications. In: Third International Workshop on Software Engineering for Sensor Network Applications (SESENA'12), 02 Jun 2012, Zurich, Switzerland. ISBN 9781467317931. ISSN 2327-1647 [Conference or Workshop Item] (doi:10.1109/SESENA.2012.6225729)

Abstract

A Wireless Sensor Network (WSN) is composed of distributed sensors with limited processing capabilities and energy restrictions. These unique attributes pose new challenges amongst which prolonging the WSN lifetime is one of the most important. Challenges are often tackled by a codeand-fix process that relies on low-level hardware and software
information.

Recently, the need of abstracting an implementation view into an architectural design is getting more realized. A clear separation of concerns is needed since hardware and software aspects are locked and tied down to specific types of nodes, hampering the possibility of reuse across projects and organizations. This means that exploiting the right level of abstraction, and keeping explicit (and separated) software and hardware architectural details will surely ease developers’ job.

In this paper we propose a modeling framework that allows developers to model separately the software architecture of the WSN, the low-level hardware specification of the WSN nodes and the physical environment where nodes are deployed in. The framework can use these models to generate executable code for analysis purposes. In this paper we focus on energy consumption analysis.

Item Type: Conference or Workshop Item (Paper)
Research Areas: A. > School of Science and Technology > Computer and Communications Engineering
Item ID: 26984
Useful Links:
Depositing User: Orhan Gemikonakli
Date Deposited: 09 Jul 2019 07:40
Last Modified: 09 Jul 2019 09:27
URI: https://eprints.mdx.ac.uk/id/eprint/26984

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