A novel quantum-inspired solution for high-performance energy-efficient data acquisition from IoT networks

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ORIGINAL RESEARCH

A novel quantum‑inspired solution for high‑performance energy‑efficient data acquisition from IoT networks Munish Bhatia1 · Sandeep Sood2 · Vaishali Sood3 Received: 17 September 2019 / Accepted: 27 August 2020 © Springer-Verlag GmbH Germany, part of Springer Nature 2020

Abstract Accuracy in IoT data acquisition has been an indispensable need to meet the increasing demand for time-sensitive data analysis, and real-time decision-making. Conspicuously, this study proposes a Quantum Computing inspired technique of temporal space optimization for real-time big IoT applications. For this purpose, quantification of IoT sensors is performed in terms of Sensors of Interest (SoI) and Degree of Aptness (DoA) measure to minimize IoT sensor-space in real-time. The proposed methodology incorporates quantum computing-based formalization of IoT sensor parameters to present a QuantumTemporal Minimization Algorithm. Moreover, 2 key performance indicators in terms of Data Similarity Analysis and Energy Efficiency are estimated for optimized efficacy. To evaluate the presented technique, numerous simulations are performed in real-time scenario of vehicular traffic determination over 1km of Regional National Highway using 70 WiSense nodes comprising of noise sensors, vibration sensors, and Raspberry Pi device. Acquired data comprising of 28,586 segments are stored in the Amazon EC2 cloud database for evaluation. The performance enhancement is estimated based on comparative analysis with several state-of-the-art optimization techniques. Results registered depict that significant improvements are registered for the presented technique in terms of temporal effectiveness, and performance parameters like Accuracy, Correlation Analysis, and Reliability. Keywords  Quantum computing · Internet of things (IoT) · Network optimization · Quantum computing inspired optimization (QCIO)

1 Introduction Advancements in Information and Communication Technology (ICT) have formed a bedrock for developing innovative solutions in various industrial sectors like healthcare, logistics, transportation, agriculture, and alike (Gubbi et al. (2013))(Bandyopadhyay and Sen (2011)). With the Internet * Munish Bhatia [email protected] Sandeep Sood [email protected] Vaishali Sood [email protected] 1



Department of Computer Science and Engineering, Lovely Professional University, Phagwara, India

2



Department of Computer Science and Informatics, Central University, Dharamshala, H.P., India

3

Department of Physics, GNDU Regional Campus, Gurdaspur, India



of Things (IoT) acting as a major ICT driver for technological progress, the futuristic industries are led on the path of automation and decentralized smartness. Additionally, with the enhanced capabilities to insert intelligence everywhere, IoT devices are being used to map the physical world where field-specific operations are happening and the software world where data processing and decision-making is performed (Liu et al. (2019)). Figure 1 shows a generic overview of 3-layer