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Water is a basic requirement of human life and economy, and its quality is increasingly threatened by pollution. Therefore, efficient and real time measurements need to be performed on waterways to cope with the ever-growing threat of water pollution. Several water quality monitoring systems are proposed in literature. However, these systems are highly expensive and complex, they offer inaccurate pollution positions, and they do not perform auto-disagnosis to recover from faults and cope with the caracteristics of the monitored environement. In this report, we propose a novel water quality…mehr

Produktbeschreibung
Water is a basic requirement of human life and economy, and its quality is increasingly threatened by pollution. Therefore, efficient and real time measurements need to be performed on waterways to cope with the ever-growing threat of water pollution. Several water quality monitoring systems are proposed in literature. However, these systems are highly expensive and complex, they offer inaccurate pollution positions, and they do not perform auto-disagnosis to recover from faults and cope with the caracteristics of the monitored environement. In this report, we propose a novel water quality monitoring platform which combines wireless sensor networks and radio frequency identification (RFID) technology. In fact, the system uses a set of fixed RFID tags that are deployed next to the waterway and a set of mobile sensor nodes which integrate RFID readers. This proposed water monitoring platform can offer several enhancements in comparison to the existing water monitoring platforms such as: cost effectiveness, low energy consumption, system performance monitoring, and tolerance to errors and loss of information.
Autorenporträt
Dr.Nourhene Ellouze received her Ph.D. in Information and Communication Technologies from SUP'COM University of Carthage Tunisia in 2016. She is member of the Communication Networks & Security research Lab.She is conducting her research activities in the area of security and investigation of implantable medical devices and Wireless Sensor Networks.