A Novel Approach to Emergency Infrastructure Monitoring via Digital Twin Technology: Building Disaster-Resilient Edge-Cloud Computing Architectures Sumalatha A, T.Vijayanandh, Janani.G, Mohammad Omar Sabri, Laxmi, M. Dinesh 2025 IEEE 7th International Conference on Computing Communication and Automation Iccca 2025, 2025 Natural catastrophes and disasters are increasingly challenging the reliability of critical infrastructures to include transportation networks, energy matrices, and public utilities. Timely identification, evaluation, and immediate decision-making are important in such situations. This study proposes an innovative emergency infrastructure monitoring mechanism which combines Digital Twin (DT) technology with disaster-resilient edge-cloud computing architecture. Digital Twins provide flexible, real-time simulation of 7 physical infrastructure, fostering a smarter connectivity to monitor the health state of the infrastructure, operational performance, and the detection of unusual situations. However, such centralized processing model suffers from latency, reliability, and scalability issues, which are particularly severe in times of emergencies (e.g., during a disaster) when communication and the underlying connectivity infrastructure are highly volatile. In order to circumvent these limitations, this paper introduces a decentralized edge-cloud model where IoT sensors and actuators which are embedded into infrastructures process real time data at the edge and are orchestrated through cloud intelligence. The proposed architecture keeps the business services always running, to minimize the time of service interruptions and to tolerate more faults whenever cloud services are temporarily unavailable. At the edge computing nodes use AI-driven analytics to identify and classify anomalies, simulate impacts scenarios, and enable local decision-making. At the same time, this cloud layer enables global learning, model update, and cross-infra coordination. The contribution is represented by the development of a scalable Digital Twin architecture designed for the specific needs of emergency situations and including adaptive synchronization between edge and cloud system, predictive failure analysis and resilient communication protocol. A case study of the earthquake response plan for smart bridges shows how the system enables the prediction of failing zones, rerouting traffic, and prioritization of rescue operations all in real time. Experiments demonstrate that the proposed approach leads to better system responsiveness, less downtime, and better disaster response compared to the traditional cloud-only system. This new combination of Digital Twins and edge-cloud computing not only supports real-time operation monitoring of infrastructure but also establishes a preventative emergency service. The results are important in smart cities design and critical infrastructures in vulnerable areas. Further improvements could involve the use of satellite maps, mobile edge computing and blockchain for immutable data auditability and traceability.
Glove based Myocardial Infarction Prediction and Alert System using Internet of Things V D Nandhini, P J Ragu, D Sowmiya, Janani G, Sarmila R, Saranya S Proceedings of the 6th International Conference on Smart Electronics and Communication Icosec 2025, 2025 A Myocardial infarction, commonly referred to as heart attack, is a severe health issue that often requires timely intervention to prevent fatalities. The aim of the project is to create a Glove based myocardial infarction prediction and alert system using Internet of Things technologies. By utilizing a heartbeat sensor, continuous monitoring of the patient's heart rate is enabled, allowing for real-time transmission of data. Users can set personalized high and low heartbeat limits, with the system generating alerts if readings exceed or fall below these thresholds. Through the collection of real-time heart rate data from wearable devices, abnormal patterns can be detected early, facilitating prompt medical intervention and potentially saving lives. This innovative approach aims to address the urgent need for improved detection and management of myocardial infarction, eventually improving patient outcomes and decreasing death rates.
Theoretical study and analysis of advanced wireless sensor network techniques in Internet of Things (IoT) B. Yamini, Pradeep G, Kalaiyarasi D, Jayaprakash M, Janani G, Uthayakumar G S Measurement Sensors, 2024 Wireless sensor networks those based on the Internet of Things (IoT) have evolved fast in numerous areas in recent years. Devices and sensors may interact with each other without human involvement in the IoT network. An IoT-based system where people and things are connected by wired and wireless technology including Wireless Sensor Networks (WSNs), ZigBee, NFC, RFID, GPRS, LTE, and Bluetooth is now one of the most popular technical ideas. The potential of the Internet of Things (IoT) has received enormous attention from the corporate and scientific communities during the past 10 years. The IoT can provide a number of significant benefits to application spaces. Researchers may be able to show crucial facts about IoT-based smart environmental monitoring systems. IoT has faced a variety of challenges, including authentication, differentiating evidence, accessibility and security and protection. Sociotechnical trust systems have also been examined in the past in various studies (STTS). Existing smart settings are now dealing with serious IoT security, protection, and STTS challenges. Trust-the-board will be highlighted and characterized, as well as how it should be utilized in the Internet of Things. As a result, the potential benefits of data aggregation solutions that use less energy while increasing the organization's lifespan are enormous. IoT-WSN data aggregation methods and computations have been reimagined. Specifically, this article examines the writing with reference to the views of sensor systems administrators in order to preserve energy and gather data.
PoBTx(Proof of Block and Transaction): An Efficient Consensus Algorithm for IoT Business Blockchain M. C Jobin Christ, D. Kalaiyarasi, Janani G, K. Senthamilselvan, D Kirubakaran, N. S. Gowri Ganesh Proceedings of the 2023 2nd International Conference on Augmented Intelligence and Sustainable Systems Icaiss 2023, 2023 The rise of Internet of Things (IoT) networks has brought about numerous challenges in Industry 4.0 that can be addressed by blockchain technology. However, conventional business blockchain algorithms are inadequate for large-scale IoT systems and need to be adapted to make them scalable for IoT. This may require simplifying complex consensus-based security measures. This paper proposes a novel Proof of Block and Transaction (PoBTx) consensus algorithm, combining the advantages of Proof of Trade (PoT) and Proof of Block (PoB) approaches. PoBTx is tailored for IoT networks, addressing energy and computational constraints. The comprehensive analysis demonstrates its improvements in security, computation time, memory, and throughput compared to traditional consensus algorithms, making PoBTx a promising solution for large-scale IoT networks.
Structured Data Collection Algorithm for Wearable Device in IoT and WSN K. Neela, Janani G, S Saranya, Sangar Subramaniam Proceedings 2022 6th International Conference on Intelligent Computing and Control Systems Iciccs 2022, 2022 Connected devices will benefit from integrating Wireless Sensor Networks with the Internet of Things (IoT). WSN/IoT-based applications and their components, however, the short life expectancy of edge devices constituted a significant obstacle to various energy sources. One of the difficulties is keeping track of everything that uses the least amount of energy. Consider the following: Edge devices that are activated by the Global Positioning System (GPS), Devices that generate complicated data are classified as complex data generators. Its position information is represented by a significant number of bits. As a result, more energy is used. This is because transmitting a single bit via WSN/IoT requires more energy than just running a few microcontroller instructions. A wearable and mobile tracking device data collection technique that may be employed in the IoT and WSN systems will be discussed in this study. Simulations using a real-time dataset executing numerous microcontroller instructions were used to assess the suggested algorithm's performance.
Automated system for diagnosing uterine cervical cancer using genetic algorithm International Journal of Control Theory and Applications, 2016
