A Model-Driven Software Development Approach Using OMG DDS for Wireless Sensor Networks

Beckmann, Kai; Thoss, Marcus

doi:10.1007/978-3-642-16256-5_11

Cited by 15 publications

(8 citation statements)

References 12 publications

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“…However, the work is not abstracted to node system; developers still need to face to the underlying data programming. Model-driven development method can carry on the abstraction to the underlying system, helping to solve the problem of tight coupling application system with the underlying node [7]. And some work [8]- [10] on the application of wireless sensor net system modeling method, the work will apply model method to the demand of application development phase and design phase, effectively improving the level of abstraction of Internet programming.…”

Section: Management Methods Of Intelligent Campus Wireless Sensor Netwmentioning

confidence: 99%

Management of Intelligent Campus Wireless Sensor Networks Based on Runtime Model

Zhang¹,

Wang²

2015

JCC

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To quick customize and develop intelligent campus internet of things (ICIOT) system more efficiently, in this paper an approach based on runtime model to managing intelligent campus wireless sensor networks is proposed. Firstly, manageability of intelligent campus wireless sensors is abstracted as runtime models which automatically and immediately propagate any observable runtime changes of target resources to corresponding architecture models. Then, a composite model of intelligent campus wireless sensors is constructed through merging their runtime models in order to manage different kinds of devices in a unified way. Finally, a customized model is constructed according to the personalized management requirement and the synchronization between the customized model and the composite model is ensured through model transformation. Thus, all the management tasks can be carried through executing operating programs on the customized model. In the part of the teaching area schools conducted experiments and compared with the traditional method, this method can be more effective management of campus facilities, more energy efficient and orderly, which can reach a 16.7% energy saving.

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Section: Management Methods Of Intelligent Campus Wireless Sensor Netwmentioning

confidence: 99%

Management of Intelligent Campus Wireless Sensor Networks Based on Runtime Model

Zhang¹,

Wang²

2015

JCC

View full text Add to dashboard Cite

show abstract

“…However, the work is not abstracted to node system; developers still need to face to the underlying data programming. Model-driven development method can carry on the abstraction to the underlying system, helping to solve the problem of tight coupling application system with the underlying node [4]. And some work [5][6][7] on the application of wireless sensor net system modeling method, the work will apply model method to the demand of application development phase and design phase, effectively improving the level of abstraction of Internet programming.…”

Section: Intelligent Library Wireless Sensor Network Management Methodsmentioning

confidence: 99%

Management of Intelligent Library Wireless Sensor Networks Based on Runtime Model

Zhang¹,

Wang²

2015

Proceedings of the 2015 International Conference on Materials Engineering and Information Technology Applications

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Abstract. To quick customize, develop and extend intelligent library internet of things system more efficiently, in this paper an approach based on runtime model to managing intelligent library wireless sensor networks is proposed. Firstly, manageability of intelligent library wireless sensors is abstracted as runtime models which automatically and immediately propagate any observable runtime changes of target resources to corresponding architecture models. Then a composite model of intelligent library wireless sensors is constructed through merging their runtime models in order to manage different kinds of devices in a unified way. Finally, a customized model is constructed according to the personalized management requirement and the synchronization between the customized model and the composite model is ensured through model transformation. Thus, all the management tasks can be carried through executing operating programs on the customized model. In the stack room area library conducted experiments and compared with the traditional method, this method can be more effective management of library facilities, more energy efficient and orderly, which can reach a 10.57% energy saving.

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“…The model-driven software development (MDSD) approach is designed to address the issues of close coupling of the code to low-level systems through abstract software models [22]. Many researches [23][24][25][26][27] focus on modelling approaches in programming sensors.…”

Section: Related Workmentioning

confidence: 99%

Runtime model based approach to IoT application development

Chen

Zeng

et al. 2015

Front. Comput. Sci.

103

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The internet of things (IoT) attracts great interest in many application domains concerned with monitoring and control of physical phenomena. However, application development is still one of the main hurdles to a wide adoption of IoT technology. Application development is done at a low level, very close to the operating system and requires programmers to focus on low-level system issues. The underlying APIs can be very complicated and the amount of data collected can be huge. This can be very hard to deal with as a developer. In this paper, we present a runtime model based approach to IoT application development. First, the manageability of sensor devices is abstracted as runtime models that are automatically connected with the corresponding systems. Second, a customized model is constructed according to a personalized application scenario and the synchronization between the customized model and sensor device runtime models is ensured through model transformation. Thus, all the application logic can be carried out by executing programs on the customized model. An experiment on a real-world application scenario demonstrates the feasibility, effectiveness, and benefits of the new approach to IoT application development.

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A Model-Driven Software Development Approach Using OMG DDS for Wireless Sensor Networks

Cited by 15 publications

References 12 publications

Management of Intelligent Campus Wireless Sensor Networks Based on Runtime Model

Management of Intelligent Campus Wireless Sensor Networks Based on Runtime Model

Management of Intelligent Library Wireless Sensor Networks Based on Runtime Model

Runtime model based approach to IoT application development

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