Integrated sensing and processing for distributed sensor networks

Advances in sensor technologies, computation devices, and algorithms have created enormous opportunities for intelligent, automated threat identification, target acquisition, and surveillance. Unfortunately, as information requirements grow, conventional network processing techniques require ever increasing bandwidth between sensors and processors, as well as potentially exponentially complex data reduction methods. Practical approaches requires that the sensing and computation be jointly engineered, to raise the quality of data and classification, and minimize computation, power consumption, and cost.