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

Doddapaneni,; Ever, Enver; Gemikonakli, Orhan; Malavolta, Ivano; Mostarda,; Muccini,

doi:10.1109/sesena.2012.6225729

Cited by 43 publications

(40 citation statements)

References 16 publications

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“…Doddapaneni et al [13] proposed a modeling framework that achieves a clear separation of software, hardware, and deployments. Whereas, they focus on the development of a whole WSN system and separate it into three concerns, we specifically focus on the application-level development and provide three abstraction levels.…”

Section: B Mdd For Wsnmentioning

confidence: 99%

“…We compared our MDD process using the three modeling languages with two existing MDD processes. One of them only supports the node modeling language, such as Doddapaneni's process [13], and the other only supports the group modeling language, such as Losilla's process [22], introduced in Section II. Such, existing processes corresponds are referred to as the node-level process and the group-level process.…”

Section: Case Studiesmentioning

confidence: 99%

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Model-Driven-Development-Based Stepwise Software Development Process for Wireless Sensor Networks

Tei

Shimizu

Fukazawa

et al. 2015

IEEE Trans. Syst. Man Cybern, Syst.

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To meet future demands for wireless sensor network (WSN) software, both experts and average software developers should be involved in WSN software development. However, WSN software development is difficult for the average software developer because data processing-related design and network-related design are tangled in the software. Here, we propose a software development process for WSN software by stepwise refinement. Our process enables stepwise refinement to separately address data processing-related and network-related concerns, reuse of well-defined designs, and implementations for network-related concerns prepared by the experts, and perform model-driven development to obtain source codes from models by model transformations. Additionally, we used case studies using actual WSN software development and user studies to evaluate how our proposed process can support actual WSN software development.Index Terms-Domain-specific languages (DSLs), model-driven development (MDD), software development process, wireless sensor networks (WSNs).

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Section: B Mdd For Wsnmentioning

confidence: 99%

Section: Case Studiesmentioning

confidence: 99%

Model-Driven-Development-Based Stepwise Software Development Process for Wireless Sensor Networks

Tei

Shimizu

Fukazawa

et al. 2015

IEEE Trans. Syst. Man Cybern, Syst.

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show abstract

“…In [9], the model-driven approach is used 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 to analyze the energy consumption of the modeled application.…”

Section: Related Workmentioning

confidence: 99%

Modeling and Timing Simulation of Agilla Agents for WSN Applications in Executable UML

Berardinelli

Marco

Pace

et al. 2013

Computer Performance Engineering

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Abstract. Wireless Sensor Networks are becoming one of the most successful choices for the development and deployment of a wide range of applications, from intelligent homes to environment monitoring. In response to the growing demand for fast development of WSN applications, we extend an existing UML-based approach for the design and code generation of Agilla applications with functional simulation and timing analysis capabilities through executable UML models. The proposed approach makes use of both a UML profile and an executable model library for Agilla. Execution times, annotated on Agilla instructions and patterns in the library, are given as additional input parameters during the model execution to carry out a timing analysis of the simulated Agilla applications. Modeling and simulation activities rely on MagicDraw© and Cameo Simulation Toolkit©. A running case study is provided to show the approach and the supporting tools at work.

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“…By adding delays in alarm, filtering data are some techniques effectively used to reduce these false alarms. Apart from these techniques there are newer ones such as confirmed alarms that can allow user to specify a condition and alarm is raised only when that condition is met.We will model the Alarm System environment using a framework called as A4WSN [7]. The designing models are represented based on three viewpoints: SAML, NODEML, and ENVML.…”

Section: Introductionmentioning

confidence: 99%

Security Alarm Systems: Modeling and Analysis of SIA Protocol

Ravindran¹

2017

IJDTA

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

Cited by 43 publications

References 16 publications

Model-Driven-Development-Based Stepwise Software Development Process for Wireless Sensor Networks

Model-Driven-Development-Based Stepwise Software Development Process for Wireless Sensor Networks

Modeling and Timing Simulation of Agilla Agents for WSN Applications in Executable UML

Security Alarm Systems: Modeling and Analysis of SIA Protocol

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