The objective of this proposal is to demonstrate the feasibility of automating the identification, processing, and storage of the most critical and pertinent data collected by a wide variety of complex sensors using a patented cloud computing methodology designed to permit the greatest flexibility and system efficiency. This novel architecture uses a revolutionary but simple idea that transfers much of the complexity away from sensors and transfers it to the core of the network. This transfer offers unprecedented joint opportunities for cooperative sensing and for delivering high performance cloud computing and storage for data analysis. Benefits of cooperative sensing include: improved reliability, connectivity, and sensor network resilience,lower energy consumption for all sensors, and joint processing and analysis of data collected by multiple sensors for much greater precision. Benefits of high performance cloud computing include: significant energy savings, and ready availability of the most recent pertinent compression and storage techniques MiMoClouds team has extremely relevant deep and broad research capabilities, the ability to rapidly develop a prototype, and the entrepreneurial drive to commercialize the painstakingly researched and executed patent.
Benefit: The patented technology for conducting shared signal processing has important applications in industrial sensor networks, military sensor networks, MIMO Radar, structural testing, and in cellular telecommunications.
Keywords: Lossless Data Compression, Compression, Compressed Sensing, Algorithm, Computational Method
