Quantum‐Inspired Soft Computing for Intelligent IoT Big Data Processing

Nowadays, data generation has increased significantly owing to the Internet of Things (IoT) revolution in data monitoring and gathering. A large amount of data leads to many issues in the handling, processing, selection, and extraction of valuable information. IoT-driven bid data models are subject to many obstacles, such as data complexity, high dimensionality, and dynamic nature, and traditional computational methods are unsuitable for handling. Soft computing techniques combined with quantum principles have become an effective solution for tackling the issues in traditional soft computing techniques. This chapter discusses the importance of improving classical soft computing techniques with quantum mechanics for designing smart IoT big-data processing paradigms. Quantum-inspired techniques are designed with innovative approaches to difficult system optimization by using fundamental concepts such as superposition, entanglement, and tunneling. These methods are offer reliable, scalable, and adaptable solutions for real-time data analysis and decision support for the soft computing techniques such as fuzzy logic, neural networks, and evolutionary algorithms. This chapter provides a detailed analysis of soft computing techniques and an improved version of the classical techniques. This chapter also discusses the difficulties of integrating quantum-inspired soft computing with current IoT frameworks and the processing overhead. A detailed analysis of the performance-related parameters are discussed with a clear problem size. The evaluation was performed with different problem sizes, maximum number of iterations, and computational overheads. The challenges, limitations, and future directions of quantum-inspired optimization techniques are discussed with respect to the different aspects of IoT-enabled data-driven networks. This chapter offers an open area for the researchers, industry practitioners, finance, and businesspeople who want to apply these cutting-edge techniques to fulfil the needs of Internet of Things systems.