HYDROSENSE: INTELLIGENT WATER MANAGEMENT USING IOT AND DATA ANALYTICS

Abstract

Rapid urbanization and population growth have placed significant pressure on urban water resources, creating an urgent need for intelligent and sustainable water management solutions. Traditional water management systems rely heavily on manual monitoring and periodic data collection, which often result in inefficiencies, water losses, and delayed response to critical events. This paper presents a smart water resource management framework that integrates Internet of Things (IoT) technology with data analytics to enable real-time monitoring, efficient utilization, and sustainable management of urban water resources. IoT sensors are deployed to collect data related to water flow, pressure, quality, and consumption patterns, which are analyzed using data analytics techniques to support informed decision-making. The proposed system improves water distribution efficiency, reduces wastage, and enhances system reliability. Experimental results demonstrate improved monitoring accuracy, faster anomaly detection, and optimized water usage. The study highlights the potential of IoTenabled analytics as a key enabler for sustainable smart city water infrastructure