Even the smallest sensors are now able to transmit their data to the Internet of Things, thus enabling all users throughout the world to potentially access them. However, the more we incorporate sensors, the less inclined we feel to change the batteries! With this in mind, the Granite team's objective is to design flexible algorithms and transmission system architectures able to adapt to their usage situations to function efficiently within transmission channels, network traffic or topology contexts. This must be done in a manner that is compatible with the limitations created by factors such as output, reliability and, most importantly, the lifespan of the different systems being used.
The Granit team studies wireless low-energy consumption transmission systems through incorporating algorithms and adapted architectures.
Areas of research
A considerable challenge faced when designing energy-efficient devices is managing to ensure that the respective wireless systems work together. This involves either using spread data calculation to find the most energy-efficient option or selecting suitable circuit routing solutions. The Granit team studies these fields of interest by assessing both OSI physical layers and applicable protocols:
- Linked transmission and Multiple Input-Multiple Output techniques
- Opportunistic and cooperating protocols
- MIMO precoding
The Granit team assesses the energy consumption implications of data communication from different angles in order to manage power input efficiently. The primary research areas are:
- Energy recovery and management
- Radio software
- Fixed-point arithmetics
- Processing adapted signals in numerical communications
One of the original approaches the Granit team uses is to implement the algorithms and protocols they create on different platforms. The material items used range from micro-controllers or low-energy network FPGAs to chip systems and multi-core processors for applications involving higher calculation input. Our main creations include: