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Dr. K. V. R. Satya Sai is an Associate Professor in the Department of Civil Engineering at TKR College of Engineering and Technology, Hyderabad, Telangana, India. His academic background is in civil engineering. His contribution to this volume focuses on IoT-based environmental monitoring and pollution prediction.
Environmental contamination has emerged as a significant obstacle impacting public health, ecological equilibrium, and sustainable progress. Traditional environmental monitoring frameworks frequently rely on stationary monitoring stations, intermittent sampling, and manual data evaluation, potentially constraining spatial reach, immediate responsiveness, and prompt detection of pollution incidents. The Internet of Things (IoT), artificial intelligence (AI), wireless sensor networks, edge computing, and cloud analytics create prospects for the creation of smart environmental monitoring systems that can perpetually gather, process, and analyse environmental data. This section explores the structural design, sensory technologies, communication standards, data analysis techniques, forecasting algorithms, and real-world uses of IoT-driven environmental surveillance. The section highlights the significance of dependable measurements, projections that account for uncertainty, and regulatory verification in the creation of efficient environmental monitoring systems. Such technologies can facilitate data-driven pollution management, ecological preservation, and sustainable urban and industrial advancement.