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This book presents the Cognitive Information Centric Sensor Network (CICSN) framework for the IoT. This framework is built on top of cognitive nodes, capable of knowledge representation, learning, and reasoning, along with an information-centric approach for data delivery. It also discusses the most appropriate deployment strategy for these cognitive nodes under realistic assumptions that cares about the Quality of Information (QoI). In addition, it uses a QoI aware data delivery strategy, with Analytic Hierarchy Process (AHP) as the reasoning technique to identify data delivery paths that dynamically adapt to changing network conditions and user requirements.
Dr. Fadi Al-Turjman is a visiting faculty at METU University in north Cyprus. He is working in the area of wireless networks' architectures, deployments, and performance evaluation. Dr. Al-Turjman obtained his Ph.D. in Computer Science from Queen's University in 2011. He received both his B.Eng. (Honors) and M.Eng. (Honors) degrees in Computer Engineering from Kuwait University in 2004 and 2007, respectively. From 2004 to 2007, he was a researcher & lecturer at the departments of Information Science and Computer Engineering at Kuwait University, Kuwait. During this period, he worked on digital systems and wireless sensor networks. From 2007 to 2013, he was a research & teaching associate at Queen's University, Canada. From 2013 to 2015, he worked as an assistant professor at the University of Guelph, Canada and Akdeniz University, Turkey. He has received recognition and best paper awards at top international venues, including IEEE ICC, LCN, GLOBECOM, and IWCMC conferences. He has authored/co-authored more than 100 reputable journals and international conference papers, in addition to 2 patents in his research area.
Introduction to Cognition in IoT Information-Centric Sensor Networks for Cognitive IoT - An Overview Cognitive-Node Architecture and a Deployment Strategy for the Future Sensor Networks Quantifying Connectivity in Wireless Sensor Networks with Grid-based Deployments A Data Delivery Framework for Cognitive Information-Centric Sensor Networks in Smart Cognitive Routing Protocol for Disaster-inspired WSNs in the Internet of Things ARA - Adaptive Routing Approach for Heterogeneous & Pervasive IoT Fog-based Caching & Learning for Information-Centric Networks Conclusions and Future Directions
