Hossam Hassanein
Queens University, Canada
Posters & Accepted Abstracts: Sensor Netw Data Commun
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 in efficient and cost effective systems. Several architectures are being built to implement IoT from two different perspectives. The first, also known as sensor-oriented, is based on large-scale sensors deployment targeting the collection of accurate sensory data. The second architecture, also known as service-oriented, targets the association of unique identifiers with specific services. In such architecture, the service is invoked upon receiving the unique identifier from a specific ID collecting node considering the context in which it was collected. 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.
Email: hossam@cs.queensu.ca
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