International Journal Of Imaging

Abstract

Developing Autonomous Sensor Networks forReal-Time Monitoring of Water Quality Parameters

Author: B. Shivani , Ch. Shanjana , D. Venukumari , Dr.Mrs. N. Sowmya

Abstract:

Water quality management is a critical concern in ensuring environmental sustainability, public health, and industrial processes. Historically, water quality monitoring has relied on manual sampling and laboratory analyses, that are time-consuming, labor-intensive, and incapable of providing real-time insights. Traditional systems for water monitoring typically involve basic sensor-based technologies with limited data processing capabilities, often failing to address dynamic environmental changes and detect anomalies promptly. However, these systems face significant limitations, including inadequate scalability, high maintenance costs, and an inability to process large, complex datasets efficiently. Additionally, the reliance on static thresholds for decision-making in traditional systems often results in delayed responses to water quality issues. With the growing concerns over industrial pollution, climate change, and population pressures, there is an urgent need for real