MofySim: A mobile full-system simulation framework for energy consumption and performance analysis

Author(s):  
Minho Ju ◽  
Hyeonggyu Kim ◽  
Soontae Kim
Author(s):  
Severin Sadjina ◽  
Lars Tandle Kyllingstad ◽  
Martin Rindarøy ◽  
Stian Skjong ◽  
Vilmar Æsøy ◽  
...  

Here, we present the concept of an open virtual prototyping framework (VPF) for maritime systems and operations that enables its users to develop reusable component or subsystem models, and combine them in full-system simulations for prototyping, verification, training, and performance studies. This framework consists of a set of guidelines for model coupling, high-level and low-level coupling interfaces to guarantee interoperability, a full-system simulation software, and example models and demonstrators. We discuss the requirements for such a framework, address the challenges and the possibilities in fulfilling them, and aim to give a list of best practices for modular and efficient virtual prototyping and full-system simulation. The context of our work is within maritime systems and operations, but the issues and solutions we present here are general enough to be of interest to a much broader audience, both industrial and scientific.


2010 ◽  
Vol 01 (01) ◽  
pp. 20-26 ◽  
Author(s):  
Rakesh Jha ◽  
Hardik Patel ◽  
Upena D. Dalal ◽  
Wankhede A. Vishal

2008 ◽  
Author(s):  
Yu Zhou ◽  
Kun Qiu ◽  
Yonggang Li ◽  
Jing Zhang ◽  
Hongbo Zhang

2011 ◽  
Vol 8 (1) ◽  
pp. 656231 ◽  
Author(s):  
Alex Skvortsov ◽  
Branko Ristic

The problem of environmental monitoring using a wireless network of chemical sensors with a limited energy supply is considered. Since the conventional chemical sensors in active mode consume vast amounts of energy, an optimisation problem arises in the context of a balance between the energy consumption and the detection capabilities of such a network. A protocol based on “dynamic sensor collaboration” is employed: in the absence of any pollutant, the majority of sensors are in the sleep (passive) mode; a sensor is invoked (activated) by wake-up messages from its neighbors only when more information is required. The paper proposes a mathematical model of a network of chemical sensors using this protocol. The model provides valuable insights into the network behavior and near optimal capacity design (energy consumption against detection). An analytical model of the environment, using turbulent mixing to capture chaotic fluctuations, intermittency, and nonhomogeneity of the pollutant distribution, is employed in the study. A binary model of a chemical sensor is assumed (a device with threshold detection). The outcome of the study is a set of simple analytical tools for sensor network design, optimisation, and performance analysis.


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