Back to Results Prototyping an Energy Harvesting Wireless Sensor Network Application Using HarvWSNet

International audienceIn this article, the HarvWSNet simulation framework is used to explore the feasibility of a structural health monitoring application based on a wireless sensor network. The aim is to show the value of a simulation-based approach for the architecture exploration and prototyping of severely energy constrained applications. In the target application, each network node performs a reading of temperature and/or acceleration and transmits the data to a base station every given period. A second objective of this work is to test the relevance of a power management algorithm whose role is to adapt the application quality of service to the instantaneous state of the energy harvesting module. The final goal is to propose a perpetually powered node architecture compatible with the user application requirements

Back to Results Prototyping an Energy Harvesting Wireless Sensor Network Application Using HarvWSNet

International audienceIn this article, the HarvWSNet simulation framework is used to explore the feasibility of a structural health monitoring application based on a wireless sensor network. The aim is to show the value of a simulation-based approach for the architecture exploration and prototyping of severely energy constrained applications. In the target application, each network node performs a reading of temperature and/or acceleration and transmits the data to a base station every given period. A second objective of this work is to test the relevance of a power management algorithm whose role is to adapt the application quality of service to the instantaneous state of the energy harvesting module. The final goal is to propose a perpetually powered node architecture compatible with the user application requirements

Two-layer Run-Time Power Management for embedded heterogeneous multi-core platforms

1 page and posterInternational audienc

Co-Simulating Complex Energy Harvesting WSN Applications: An In-Tunnel Wind Powered Monitoring Example

International audienceA complex wind-energy harvesting wireless sensor network (WSN) application for subway tunnels is pre-prototyped using the HarvWSNet co-simulation framework. Detailed models of every component, including energy harvester, tunnel propagation channel, train mobility, node power consumption, and physical layer (PHY), medium access control (MAC), routing and power aware protocols are described. Pre-prototyping simulations quickly identify the key parameters affecting the viability of the application (e.g., harvested energy, train-induced signal attenuation). Thanks to its native capacity to handle detailed charge flow models, HarvWSNet can address scenarios with complex and intermittent energy supplies. This work demonstrates how co-simulation platforms such as HarvWSNet can aid in the development and future success of energy harvesting WSN application

PHERMA : une approche globale de gestion de la consommation au niveau système pour des architectures MPSoC temps réel hétérogènes

National audienc

The PHARAON project: Parallel and Heterogeneous Architecture for Real-Time Applications

International audienceno abstrac

Improving the design flow for parallel and heterogeneous architectures running real-time applications: The PHARAON FP7 project

DOI information: http://dx.doi.org/10.1016/j.micpro.2014.05.003International audienceno abstrac

EU FP7-288307 Pharaon Project: Parallel and Heterogeneous Architecture for Real-Time Applications2013 Euromicro Conference on Digital System Design

In this article, we present the work-in-progress of the EU FP7 PHARAON project, started in September 2011. The first objective of the project is the development of new techniques and tools capable to assist the designer in the development of parallel embedded systems, from executable specifications to target-specific implementation and debugging on a multicore platform. This tool chain will offer and implement several parallelization strategies, reflecting the functional and non-functional constraints of the system, and driving the designer into incremental parallelization and adaptation steps. The second objective of the project is to develop monitoring and control techniques in the middleware of the system capable to automatically adapt platform services to application requirements and therefore reduce power consumption transparently