PhD Forum: Enabling Autonomic IoT for Smart Urban Services
Muhammad Junaid Farooq, Quanyan Zhu
TL;DR
This paper discusses how integrating IoT with advanced decision-making and network science can enable autonomous, efficient, and resilient urban systems, advancing smart city development.
Contribution
It introduces a comprehensive framework combining IoT, optimization, and machine learning to enhance urban system autonomy and resilience.
Findings
Enhanced efficiency in urban services
Improved security and resilience measures
Economic benefits for smart city infrastructure
Abstract
The development of autonomous cyber-physical systems (CPS) and advances towards the fifth generation (5G) of wireless technology is promising to revolutionize many industry verticals such as Healthcare, Transportation, Energy, Retail Services, Building Automation, Education, etc., leading to the realization of the smart city paradigm. The Internet of Things (IoT), enables powerful and unprecedented capabilities for intelligent and autonomous operation. We leverage ideas from Network Science, Optimization & Decision Theory, Incentive Mechanism Design, and Data Science/Machine Learning to achieve key design goals, in IoT-enabled urban systems, such as efficiency, security & resilience, and economics.
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Taxonomy
TopicsIoT and Edge/Fog Computing · Smart Grid Security and Resilience · Blockchain Technology Applications and Security