Big sensed data in the Internet of Things

International Journal of Sensor Networks and Data Communications

ISSN: 2090-4886

Open Access

Big sensed data in the Internet of Things

2nd International Conference and Business Expo on Wireless & Telecommunication

April 21-22, 2016 Dubai, UAE

Hossam Hassanein

Queens University, Canada

Posters & Accepted Abstracts: Sensor Netw Data Commun

Abstract :

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.

Biography :


Google Scholar citation report
Citations: 343

International Journal of Sensor Networks and Data Communications received 343 citations as per Google Scholar report

International Journal of Sensor Networks and Data Communications peer review process verified at publons

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