Internet of Things, Smart Sensing and Data Fusion in Smart City

Dear Colleagues,

Rapid advances in the manufacturing of smart sensor nodes have expanded the range of wireless sensor networks (WSNs) applications in Internet-of-Things (IoT) networks, such as monitoring and gathering information from public infrastructure, natural disaster relief, healthcare, smart homes, and industries in smart cities. Smart sensing and data fusion include various smart city applications, offering significant advantages over traditional networks, and leading to a revolution in the perception of information by self-organizing, distributed, low-cost, and power. Many factors may affect the design of a smart city network, including but not limited to cost, power, topology, scalability, reliability, energy consumption, and operating environment. Meanwhile, computational intelligence (CI) is a source of artificial intelligence, and includes techniques such as deep learning, evolutionary algorithms, and fuzzy logic. To address challenges such as localization, optimal deployment, security, energy-aware routing and task scheduling, and data aggregation and fusion, CI paradigms have been successfully used in recent years. In complex and dynamic smart city environments, CI provides adaptive mechanisms that exhibit intelligent behaviors. It offers flexibility, autonomous behavior, and robustness against topology changes, communication failures, and scenario changes.

This Special Issue expects innovative work to explore new frontiers and challenges in the field of IoT, smart sensing, and data fusion research, including optimal usage and management of energy resources, node deployment, applications, and services for scalable smart city networks.

Prof. Dr. James (Jong Hyuk) Park
Guest Editor

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