IEEE Kingston Section

IEEE

ADVANCEMENTS IN THE INTERNET OF THINGS (IoT) LEADING TO BIG SENSED DATA

The  IEEE Kingston Joint Communications and Computer Chapter is proud to sponsor the following IEEE lecture:

Advancements in the Internet of Things Leading to Big Sensed Data

Date:        Monday, November 28th, 2016.

Time:       2:00PM

Venue:     WLH302 , Walter Light Hall, Queens University, Kingston.

Speaker:  Dr. Sharief Oteafy, School of Computing, Queens University

Abstract: The Internet of Things (IoT) is proliferating on reliable and scalable collection of sensed data. Meanwhile, the growing realizations of Wireless Sensor Networks (WSNs), sensing over smart devices (tablets, smartphones) and wired sensors, are all generating an exponentially increasing amount of data. The ensuing advent of Big Sensed Data (BSD) is generating critical challenges. First, collected data is mainly insightful to each deployed network, any “sense-making” processes to be built upon heterogeneously collected data faces significant interoperability problems, exposing challenges with varying quality, data-labelling inconsistencies, inaccuracies, time-sensitivities and different reporting granularities. Second, sensing systems inherently adopt a collect-and-report model, whereby collected data is indiscriminately pushed onto the networking infrastructure, regardless of the Quality of Information (QoI) or its value (VoI). Not only do we face scalability issues, but establishing reliable Information Services on top of BSD is not attainable over inconsistently collected, validated and reported data. Thus, the future of Big Data is hampered by the sheer volume of reported data, its uncalibrated discrepancies, and worse by the flood of redundant and lower quality data. Real-time decision making is inherently built on the efficacy of ubiquitous sensing systems, not on the aggregation of devices that are isolated in operation and management. In a time when important IoT applications such as health Informatics and emergency services require rapid and scalable access to contextual information about patients, mobile crowds and the general public, the status quo falls significantly short.

Speaker Bio: Sharief M. A. Oteafy (S’08–M’13) is an Adjunct Assistant Professor at the School of Computing, Queen’s University. Dr. Oteafy received his PhD in 2013 from Queens University, focusing on adaptive resource management in Next Generation Sensing Networks, introducing the notion of Organic WSNs that adapt to their environment and scale in functionality with resource augmentation. Dr. Oteafy’s current research focuses on dynamic architectures for enabling large scale synergy in the Internet of Things; encompassing dynamic resource management across IoT platforms, in addition to managing the proliferation of Big Sensed Data. Dr. Oteafy is actively engaged in the IEEE Communications Society, and an IEEE and ACM member since 2008. Dr. Oteafy is an active member of the IEEE ComSoc Standards Association as the AHSN Standards Liaison, and a member in the ComSoc Tactile Internet standard WG. Dr. Oteafy co-authored a book on “Dynamic Wireless Sensor Networks”, published by Wiley, and presented over 40 peer-reviewed publications in Sensing systems and IoT. Dr. Oteafy co-chaired a number of IEEE workshops, in conjunction with IEEE ICC and IEEE LCN conferences, and served on the TPC of numerous IEEE and ACM symposia. Dr. Oteafy has delivered tutorials on Big Sensed Data management in IEEE ICC, IEEE CAMAD and IEEE Globecom conferences, and serves as an Associate Editor in IEEE Access.

 

This seminar is open to the general public with free admission and refreshments. For further information, please contact Dr. Francois Chan

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