A Gaussian Mixture Model-based Event-Driven Continuous Boundary Detection in 3D Wireless Sensor Networks

10.5772/12971 ◽  
2010 ◽  
Author(s):  
Jiehui Chen ◽  
Mariam B. ◽  
Mitsuji Matsumoto
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Gaussian Mixture Model ◽  
Mixture Model ◽  
Boundary Detection ◽  
Gaussian Mixture ◽  
Wireless Sensor ◽  
Model Based ◽  
Event Driven ◽  
Continuous Boundary

scholarly journals A Gaussian Mixture Model-Based Continuous Boundary Detection for 3D Sensor Networks

Sensors ◽  
2010 ◽  
Vol 10 (8) ◽  
pp. 7632-7650 ◽  
Author(s):  
Jiehui Chen ◽  
Mariam B. Salim ◽  
Mitsuji Matsumoto
Keyword(s):  
Sensor Networks ◽  
Gaussian Mixture Model ◽  
Mixture Model ◽  
Boundary Detection ◽  
Gaussian Mixture ◽  
Model Based ◽  
Continuous Boundary

scholarly journals A Model-Based Approach for Adaptable Middleware Evolution in WSN Platforms

2021 ◽  
Vol 10 (1) ◽  
pp. 20
Author(s):  
Walter Tiberti ◽  
Dajana Cassioli ◽  
Antinisca Di Marco ◽  
Luigi Pomante ◽  
Marco Santic
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Embedded System ◽  
Operating Systems ◽  
Parallel Evolution ◽  
Wireless Sensor ◽  
New Techniques ◽  
Model Based ◽  
And Performance ◽  
Hardware Platforms

Advances in technology call for a parallel evolution in the software. New techniques are needed to support this dynamism, to track and guide its evolution process. This applies especially in the field of embedded systems, and certainly in Wireless Sensor Networks (WSNs), where hardware platforms and software environments change very quickly. Commonly, operating systems play a key role in the development process of any application. The most used operating system in WSNs is TinyOS, currently at its TinyOS 2.1.2 version. The evolution from TinyOS 1.x and TinyOS 2.x made the applications developed on TinyOS 1.x obsolete. In other words, these applications are not compatible out-of-the-box with TinyOS 2.x and require a porting action. In this paper, we discuss on the porting of embedded system (i.e., Wireless Sensor Networks) applications in response to operating systems’ evolution. In particular, using a model-based approach, we report the porting we did of Agilla, a Mobile-Agent Middleware (MAMW) for WSNs, on TinyOS 2.x, which we refer to as Agilla 2. We also provide a comparative analysis about the characteristics of Agilla 2 versus Agilla. The proposed Agilla 2 is compatible with TinyOS 2.x, has full capabilities and provides new features, as shown by the maintainability and performance measurement presented in this paper. An additional valuable result is the architectural modeling of Agilla and Agilla 2, missing before, which extends its documentation and improves its maintainability.

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