System-level modeling of a mixed-signal System on Chip for Wireless Sensor Networks

2011 ◽  
Author(s):  
G S Beserra ◽  
J E G de Medeiros ◽  
A M Sampaio ◽  
J C da Costa
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
System On Chip ◽  
System Level ◽  
Wireless Sensor ◽  
Signal System ◽  
Mixed Signal ◽  
System Level Modeling ◽  
On Chip

MISSION LEVEL MODELING AND SIMULATION LANGUAGE FOR MIXED-SIGNAL SYSTEM-ON-CHIP DESIGN

2007 ◽  
Vol 16 (01) ◽  
pp. 15-28 ◽  
Author(s):  
BOJAN ANDJELKOVIĆ ◽  
VANCO LITOVSKI ◽  
VOLKER ZERBE
Keyword(s):  
Uniform Design ◽  
Environmental Parameters ◽  
System On Chip ◽  
System Level ◽  
Signal System ◽  
Mixed Signal ◽  
Operational Conditions ◽  
Mission System ◽  
Implementation Level ◽  
On Chip

Modern complex system design demands modeling on a high level of abstraction together with the system environment components. Such model enables mission level system simulation in the context of its operational conditions. Mission level design using hardware description language AleC++ is presented in this paper. It provides mission and system level verification of a mixed-signal system-on-chip. After validation at mission and system level, this language enables designers to replace some of the components with implementation level models to test and validate the system implementation at mission level. Also, the language provides modeling capabilities that give the designer an opportunity to analyze the influence of low-level technological and environmental parameters to the complete system behavior. In this way a uniform design framework is achieved from mission/system down to implementation level. The application of the language both for mission/system and implementation level modeling is illustrated by an example of the electronic compass.

scholarly journals Wireless Sensor Networks Composed of Standard Microcomputers and Smartphones for Applications in Structural Health Monitoring

Sensors ◽  
2019 ◽  
Vol 19 (9) ◽  
pp. 2070 ◽  
Author(s):  
Guido Morgenthal ◽  
Jan Frederick Eick ◽  
Sebastian Rau ◽  
Jakob Taraben
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Structural Health Monitoring ◽  
Data Acquisition ◽  
Health Monitoring ◽  
Modal Identification ◽  
System Level ◽  
Wireless Sensor ◽  
Raspberry Pi ◽  
Structural Health

Wireless sensor networks have attracted great attention for applications in structural health monitoring due to their ease of use, flexibility of deployment, and cost-effectiveness. This paper presents a software framework for WiFi-based wireless sensor networks composed of low-cost mass market single-board computers. A number of specific system-level software components were developed to enable robust data acquisition, data processing, sensor network communication, and timing with a focus on structural health monitoring (SHM) applications. The framework was validated on Raspberry Pi computers, and its performance was studied in detail. The paper presents several characteristics of the measurement quality such as sampling accuracy and time synchronization and discusses the specific limitations of the system. The implementation includes a complementary smartphone application that is utilized for data acquisition, visualization, and analysis. A prototypical implementation further demonstrates the feasibility of integrating smartphones as data acquisition nodes into the network, utilizing their internal sensors. The measurement system was employed in several monitoring campaigns, three of which are documented in detail. The suitability of the system is evaluated based on comparisons of target quantities with reference measurements. The results indicate that the presented system can robustly achieve a measurement performance commensurate with that required in many typical SHM tasks such as modal identification. As such, it represents a cost-effective alternative to more traditional monitoring solutions.

System-level calibration for data fusion in wireless sensor networks

2013 ◽  
Vol 9 (3) ◽  
pp. 1-27 ◽  
Author(s):  
Rui Tan ◽  
Guoliang Xing ◽  
Zhaohui Yuan ◽  
Xue Liu ◽  
Jianguo Yao
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Fusion ◽  
System Level ◽  
Wireless Sensor
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