Faculty Publications

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    A Systematic Review on Implementation of Internet-of-Things-Based System in Underground Mines to Monitor Environmental Parameters
    (Springer, 2024) Naik, A.S.; Kumar Reddy, S.K.; Raj, G.R.
    The automation in the mining industry by adopting Internet of Things (IoT) technology is great potential to improve safety and efficiency. The mining industry is recognized globally for its valuable resources (gold, coal, iron ore, etc.) which are obtained by mining below the surface. The productivity and safety of mine personnel are impacted by several environmental parameters in underground mines, such as toxic gases, flammable gases, elevated levels of carbon dioxide (CO2), and decreased levels of oxygen (O2) concentrations. The presence of these gases is a significant issue and needs to be dealt with suitably. There are various methods to monitor the percentage of gases and provide a suitable course of action in case of an increase in the threshold limit of gases. Each system has its limitations. Wireless monitoring systems are indispensable in underground mines. This paper presents the methodology to adopt IoT in underground mines to measure environmental parameters in underground mine areas, the structure of installation of sensors in underground mines, threshold limits of gases, and underground mine disasters which were caused by gas explosion accidents. Further, it evaluates wireless sensor networks (WSNs) techniques ZigBee and LoRa for underground mines applications. Subsequently, it proposed a real-time industrial safety system in underground mines with its working, effectiveness, and scope are discussed. © The Institution of Engineers (India) 2023.
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    Enhancing Time-Sensitive Networking resilience through SDN-based automated failover process
    (KeAi Communications Co., 2025) Hagargund, A.G.; Asha, K.; Shet, N.S.V.; Kulkarni, M.
    In domains such as industrial automation, tactile networking, and invehicle communication, stringent requirements for bounded latency and minimal packet loss are paramount to ensure the reliability and efficiency of Time-Sensitive applications. The Time-Sensitive Networking (TSN) aims to cater to these requirements. The architecture of TSN involves heterogeneous data with mixed traffic classes. To ensure the continuous availability of the TSN network, the required failover process for TSN devices must be in place. In this paper, the novel algorithm TSN Device Failover Design (TDFD) for automatic failover configuration of edge switch is proposed and validated using Linux based Open Source tools. Also, the Software Defined Networking (SDN) infrastructure is being employed to enhance the operational efficiency of distributed TSN. For the bounded latency as proposed under the IEEE 802.1Qbv, this work utilizes TAPRIO (Time Aware Priority) queuing discipline. Additionally, the impact of failover on TSN traffic is analyzed by measuring the latency. The experiment result shows that the TSN packets were sent to the destination with a delay of 6 to 13 microseconds before failover. During the failover process, there were no packet transmissions for about 160 ms due to the transition from the old TSN path to the new TSN path due to switch failure. After this, the packets are transmitted to the destination with zero loss. The time taken for the CUC to calculate the new flows and push the new flows to the backup switch is 160 ms. © 2025 The Authors
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    Open-source solutions for real-time data retrieval in industrial automation and IoT environments
    (Inderscience Publishers, 2025) Hegde, S.B.; Narendra Reddy, T.N.; Prasannan, P.; Manjunath, K.V.; Herbert, M.A.; Rao, S.S.
    Digitalisation of the manufacturing industries due to the implementation of the ‘industrial internet of things (IIOT)’ is a key enabler for improved productivity and reliability at a reduced labour cost. The industrial IOT connects all the industrial machines such as PLCs, CNCs, and robots through a robust network. The generated data by these end devices plays a vital role in industrial automation, however acquiring the data from machines specifically legacy machines using various communication protocols is the biggest challenge and costly process, especially for MSMEs. Hence this paper discusses the usage of the open-source framework for real-time data acquisition from industrial machines and its implication in Industry 4.0. The paper implements and validates the possibility of the usage of an open-source framework for data acquisition instead of vendor-specific licensed software using several test cases. The paper also validates and proves ‘Wireshark’ can be a universal open-source solution for data acquisition using any standard communication protocols from various vendor-specific machines. Hence this work provides a novel solution for the digitalisation of the MSME manufacturing industries efficiently at the reduced maintenance cost and improve their productivity. © © 2025 Inderscience Enterprises Ltd.