Development and Modeling of Energy-Efficient, Adaptable, Multiprocessor and Multisensor Low-Power Electronic Systems

The research topic is embedded low-power electronic systems composed of multiple processors and sensors, interconnected by wired or wireless links. By inter-processor communication and programable foundation of system elements, automated system reconfiguration is enabled, which facilitates implementation of multiple functions. Time-to-design shortening, design-cost reductions in design of new or modification of existing systems, and lower energy consumption for data transmission and processing are thus enabled. The project focuses on 4 themes which taken together yield mathematical and unified models of multiprocessor systems (MPS) that describe limits and possibilities achieved by reconfiguration and optimization. The themes are: theory and development of reconfigurable MPS; multisensor systems (MSS) integration and applications; MPS and MSS hardware and software development; analysis and optimization of wireless communications in MPS and MSS. Expected results: proposal of adaptable architecture of MPS, their performance analysis, and optimization methods; development of smart sensor solutions for distributed measurement and control applications; MPS and MSS hardware and software solutions including sensor interfaces and power supply by conversion of electromagnetic energy into DC energy; novel signal processing and medium access control algorithms to improve received signal quality and energy efficiency in wireless communications.