Big Sensed Data in the Internet of Things

The Internet of Things (IoT) is opening new horizons in systems intelligence, where physical objects (embedded with sensory, identification and networking capabilities) can interact with other objects through the global infrastructure of wireless/wired Internet. These systems can be monitored and controlled by filtering and processing collected data. Such intelligent design will naturally result is efficient and cost effective systems. Several architectures are being built to implement IoT from two different perspectives. The rise of ad hoc sensors, and new manifestations of sensing systems within the Internet of Things resulted in a tide of sensed data that is potentially drowning our communication resources. In this talk I overview the evolution of sensing systems as they contributed to Big Data, and outline the rising challenges in both communicating and understanding this data. I argue that a solution lies not in sensing systems alone, but in the expedited funneling and processing of data as we attempt to prune the unnecessary, and make sense of the valuable. The quest for energy efficiency that dominated Sensor Networks for so long, is now matched with a more pressing demand for ubiquity and real-time latency.