Energy consumption is one of the most constrained requirements for the development and implementation of wireless sensor networks. Many design aspects affect energy consumption, ranging from the hardware components, operations of the sensors, the communication protocols, the application algorithms, duty cycles and others. Efficient simulation tool can be used to estimate the contribution to energy consumption of all of these factors, and significantly decrease the efforts and time spent to choose the right solution that fits best to a particular application. In this work we present design space exploration methodology for ultra low power embedded systems and wireless sensor networks. The methodology takes inspiration from Platform Based Design (PBD) paradigm and defines separate abstraction layers for all system aspects that directly contribute power consumption of target applications. To support presented methodology we built a SystemC-based discrete event simulation framework, called “PASES”, that provides power-aware simulation and analysis of wireless sensor networks and sensor nodes. Its modular architecture allows flexible, extensible and rapid modeling of custom HW platforms, SW application models, communication protocols, energy sources, environment dynamics and nodes mobility. Based on the feedback gained from PASES, the optimal and energy-efficient solution for the specific project of interest can be selected. The proposed approach improves state-of-the-art by providing fast and reliable power-aware system-level exploration for a wide range of custom applications
| Identifer | oai:union.ndltd.org:unitn.it/oai:iris.unitn.it:11572/328000 |
| Date | 02 April 2012 |
| Creators | MINAKOV, IVAN |
| Contributors | Minakov, Ivan |
| Publisher | Università degli studi di Trento |
| Source Sets | Università di Trento |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/doctoralThesis |
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