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Sensors 2014, 14(6), 11070-11096;

A Model-Based Approach for Bridging Virtual and Physical Sensor Nodes in a Hybrid Simulation Framework

Electrical Engineering, California State University Long Beach, 1250 N. Bellflower Blvd., Long Beach, CA 90840, USA
Department of Electronics, Politecnico di Torino, Corso Duca degli Abruzzi 24, Turin 10129, Italy
EECS Department, University of California at Berkeley, Cory Hall, Berkeley, CA 94720, USA
Author to whom correspondence should be addressed.
Received: 21 March 2014 / Revised: 16 June 2014 / Accepted: 17 June 2014 / Published: 23 June 2014
(This article belongs to the Special Issue Wireless Sensor Networks and the Internet of Things)
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The Model Based Design (MBD) approach is a popular trend to speed up application development of embedded systems, which uses high-level abstractions to capture functional requirements in an executable manner, and which automates implementation code generation. Wireless Sensor Networks (WSNs) are an emerging very promising application area for embedded systems. However, there is a lack of tools in this area, which would allow an application developer to model a WSN application by using high level abstractions, simulate it mapped to a multi-node scenario for functional analysis, and finally use the refined model to automatically generate code for different WSN platforms. Motivated by this idea, in this paper we present a hybrid simulation framework that not only follows the MBD approach for WSN application development, but also interconnects a simulated sub-network with a physical sub-network and then allows one to co-simulate them, which is also known as Hardware-In-the-Loop (HIL) simulation. View Full-Text
Keywords: model based design; wireless sensor networks; hardware-in-the-loop simulation model based design; wireless sensor networks; hardware-in-the-loop simulation
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Mozumdar, M.; Song, Z.Y.; Lavagno, L.; Sangiovanni-Vincentelli, A.L. A Model-Based Approach for Bridging Virtual and Physical Sensor Nodes in a Hybrid Simulation Framework. Sensors 2014, 14, 11070-11096.

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