Energy-Aware System Design with SDL

Gotzhein, Reinhard; Krämer, Marc; Litz, Lothar; Chamaken, A.

doi:10.1007/978-3-642-04554-7_2

Cited by 9 publications

(7 citation statements)

References 14 publications

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“…For example, in [5], the authors address energy-aware system design of Wireless Sensor Networks (WSNs). Energy mode signalling and energy scheduling of nodes within a WSN are represented as SDL models, and then analysed.…”

Section: Related Workmentioning

confidence: 99%

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

Doddapaneni

Ever

Gemikonakli

et al. 2012

2012 Third International Workshop on Software Engineering for Sensor Network Applications (SESENA)

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Section: Related Workmentioning

confidence: 99%

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

Doddapaneni

Ever

Gemikonakli

et al. 2012

2012 Third International Workshop on Software Engineering for Sensor Network Applications (SESENA)

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“…Also, in some cases (e.g., when capabilities such as fault tolerance and security analysis are needed) the structure of WSNs may not be enough, and thus describing the behaviour of the WSN is fundamental. In [25], the authors address energy-aware system design of Wireless Sensor Networks (WSNs). Energy mode signalling and energy scheduling of nodes within a WSN are represented as SDL models, and then analysed.…”

Section: Related Workmentioning

confidence: 99%

A4WSN: an architecture-driven modelling platform for analysing and developing WSNs

et al. 2018

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This paper proposes A4WSN, an architecture-driven modelling platform for the development and the analysis of Wireless Sensor Networks (WSNs). A WSN consists of spatially distributed sensor nodes that cooperate in order to accomplish a specific task. Sensor nodes are cheap, small, and battery-powered devices with limited processing capabilities and memory. WSNs are mostly developed directly on the top of the operating system. They are tied to the hardware configuration of the sensor nodes and their design and implementation can require cooperation with a myriad of system stakeholders with different backgrounds. WSNs peculiarities and current development practices bring a number of challenges, ranging from hardware-software coupling, limited reuse, late WSNs quality property assessment. As a way to overcome a number of existing limitations, this study presents a multi-view modelling approach that supports the development and analysis of WSNs. The framework uses different models to describe the software architecture, hardware configuration, and physical deployment of a WSN. A4WSN

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“…They aimed to improve the design of applications through domain-specific languages or UML profiles with the goals of automatic code generation, simulation, and performance analysis. In [11], the authors addressed the energy-aware system design of WSNs with the design language SDL [12]. The authors identified energy mode signaling and energy scheduling as two conceptual approaches to specify energy aspects into SDL, and then these approaches were applied in order to control the energy consumption of the CPU and transceiver of an Imote2 platform.…”

Section: Related Workmentioning

confidence: 99%

A model-based transformation framework for designing and analyzing wireless sensor networks

Saida¹,

Kacem²,

BenSaleh³

et al. 2018

Turk J Elec Eng & Comp Sci

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Wireless sensor networks (WSNs) comprise resource-constrained (e.g., memory, processing, and energy) sensor nodes that are deployed in different areas and are able to monitor environmental conditions. Simulation has been widely used in order to evaluate the network performance. In this context, software designers need to evaluate, refine, and validate high-level models for WSN applications at early stages of development via simulation tools, in particular for WSN applications supporting energy-harvesting devices. In the present paper, we propose a model-based transformation framework that allows the modeling and simulation of a WSN system supporting energy-harvesting capabilities. In this proposal, we start from a high-level specification based on the UML/MARTE profile, which describes an energyharvesting WSN node. Then a model-to-text (M2T) transformation allows us to generate simulation scripts for analysis purposes by focusing on energy consumption.

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Energy-Aware System Design with SDL

Cited by 9 publications

References 14 publications

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

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

A4WSN: an architecture-driven modelling platform for analysing and developing WSNs

A model-based transformation framework for designing and analyzing wireless sensor networks

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