Novel numerical and computational techniques for remote sensor based monitoring of freshwater quality

Freshwater protection is one of the key issues for environment protection. In this paper we propose novel techniques to remotely monitor freshwater quality in river system using wireless sensor networks (WSNs). In order to maximize the performance in water quality monitoring with minimum amount of sensor nodes, we have studied optimal sensor deployment algorithm based on graph theory, genetic algorithm (GA) and storm water management model (SWMM). We have also proposed algorithms to automatically detect and locate the pollution and predict the subsequent reaches which will be polluted. For overcoming the power supply limitation of WSNs, both wind and solar power devices are used as a long-term energy source for sensor nodes.