Towards a Comprehensive Power Consumption Model for Wireless Sensor Nodes

Hesse M, Adams M, Hörmann T, Rückert U. Towards a Comprehensive Power Consumption Model for Wireless Sensor Nodes. In: 2016 IEEE 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN). IEEE; 2016: 390-395.Energy efficiency is the most outstanding design criterion for wireless sensor nodes and especially wireless body sensors. Because a detailed measurement of the system's power consumption is not possible during the design process and often too complex for already manufactured devices, the power consumption has to be estimated. This leads to the need for a comprehensive and modular model for the power consumption of WSNs, which is proposed in this work. Due to the modular structure of the model the user is able to get a first estimate in an early stage of the design process (e.g. choose components) and to get a more accurate estimation later in the design process by lowering the abstraction level. This tackles the demanding trade-off between accuracy and usability in modeling

Development of Energy Models for Design Space Exploration of Embedded Many-Core Systems

This paper introduces a methodology to develop energy models for the design space exploration of embedded many-core systems. The design process of such systems can benefit from sophisticated models. Software and hardware can be specifically optimized based on comprehensive knowledge about application scenario and hardware behavior. The contribution of our work is an automated framework to estimate the energy consumption at an arbitrary abstraction level without the need to provide further information about the system. We validated our framework with the configurable many-core system CoreVA-MPSoC. Compared to a simulation of the CoreVA-MPSoC on gate level in a 28nm FD-SOI standard cell technology, our framework shows an average estimation error of about 4%.Comment: Presented at HIP3ES, 201