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Research Paper | Computer Science and Engineering | Volume 15 Issue 5, May 2026 | Pages: 752 - 758 | India
An Intelligent Machine Learning-Based Framework for Ubiquitous Sensor Networking to Enable Smart Monitoring and Data-Driven Decision Systems
Abstract: The Department of Defense in the United States sees ubiquitous sensor networks as a key part of future military tech that is intelligent. These networks involve distributed devices that generate tons of different kinds of sensor data. Managing that data processing turns out to be really tough, especially for real-time monitoring and making smart decisions on the fly. Traditional setups in sensor networks just do not cut it when it comes to handling all those extensive data streams and spotting important patterns right away. The study here focuses on building a smart sensor network system that uses machine learning to make monitoring more intelligent and support decisions based on data. It feels like combining wireless sensor networks with edge computing, plus cloud management and various machine learning algorithms, could create something that evolves into a full intelligent framework for analyzing all that sensor info. Sensor nodes pick up environmental and operational data, then push it through the network to edge and cloud systems where the real processing happens. In this setup, they apply algorithms like Random Forest and Support Vector Machines, along with clustering methods, to go through the sensor data. The goal is to detect anomalies and build forecast models from it. Automatic monitoring runs in the background, and it uses resources efficiently to adapt to the whole distributed environment of the sensor system. That part seems important because it makes things more responsive without wasting effort. Experimental results indicate the framework improves monitoring accuracy and helps with better decision-making, all while cutting down processing time in large-scale networks. When machine learning gets integrated with these ubiquitous sensor networks, operational performance and overall system smarts see big improvements, I think. Organizations could really benefit from that. The proposed approach sets up a reliable platform for developing advanced smart monitoring and data-driven support systems in modern IoT settings, though some details on scalability might need more exploration.
Keywords: Ubiquitous Sensor Networks, Smart Monitoring Systems, Predictive Analytics, Data-Driven Decision Systems, Intelligent Sensor Framework
How to Cite?: Tammineni AnilKumar, Dr. R. Rajeswara Rao, "An Intelligent Machine Learning-Based Framework for Ubiquitous Sensor Networking to Enable Smart Monitoring and Data-Driven Decision Systems", Volume 15 Issue 5, May 2026, International Journal of Science and Research (IJSR), Pages: 752-758, https://www.ijsr.net/getabstract.php?paperid=SR26508091321, DOI: https://dx.dx.doi.org/10.21275/SR26508091321