Self-adaptive and content-based scheduling for reducing idle listening and overhearing in securing quantum IoT sensors

Abstract

Today is the age of superconductivity where each object connects in a cascading manner to other objects, allowing for seamless integration of real-world objects into the digital domain of the Internet of Things (IoT). These objects collaborate to deliver ubiquitous services based on the user mode and context. For more real-time applications, IoT is integrated with quantum computing technologies and tools for enhancing the conventional structure into more different aspects, revolutionizing the processing speed, enhancing communication, and increasing security features. All these objects are equipped with sensors that collect real-time data from their surroundings and share it with neighboring objects. This data is then broadcast into the environment, enabling users to access services without understanding the underlying complex and hybrid IoT infrastructure of heterogeneous devices. These minute and plugable sensors are capable of data collection and are always busy handling data management. However, these sensors often have limited resources, creating significant issues when dealing with massive and repetitive operations. Most of the time, these low-energy sensors are busy with excessive sensing and broadcasting, resulting in overhearing and passive listening. These factors not only create congestion on communication channels but also increase delays in data transmission and adversely affect system performance. To assess the network traffic for securing the IoT resources in the quantum computing environment, in this research work, we have proposed a novel scheme called “Self-Adaptive and Content-Based Scheduling (CACS) for Reducing Idle Listening and Overhearing in Securing the Quantum IoT Sensors”. This scheme reduces idle listening and minimizes overhearing by adaptively configuring network conditions according to the contents of sensed data packets. It minimizes extensive sensing, decreases over-cost processing, and reduces frequent communication that lessens the overall system traffic and secures the resources from being overwhelmed. The simulation results demonstrate a 0.80% increase in delay across various baud rates, resulting in a general increase of 0.44 s. Moreover, it ensures a notable 22.23% reduction in BER and lowers energy consumption by approximately 20%, which is actual energy enhancement in the connected system.