• ER.RIHA
• ER.SHELLY

Abstract—For drinking water quality PH(public health)is an essential. It is require to prevent any interference into water division systems and to detect pollution as soon as possible, whether accidental or intentional. Thus, we supposed of integrating a section to detect the anomalies or corruption that could affect the drinking water quality. Hence, a study of the evolution of water quality is necessary protect. In this we implement a centralized anomaly detection method in destinations. Our research work depends on a WSNs (Wireless Sensor Networks) in collaboration with a network platform. In research work, an effective and optimized (BFOA) detection algorithm is centralized in the destination sensor network , where a world-wide and coherent WQ (Water Quality) should be attained from the considerations taken locally. The optimization algorithm takes into account the variable features of the water quality metrics. Certainly , the water quality metrics like as a PH scale, Turbidity can unexpectedly exceed the standard thresholds during a consider window and then it retains SVs (Standard Values). Our Research Work method triggers an alarm only, if the anomaly persists during several of successive windows defined by the manage center.The performance computed in this phase is intended to compute the network efficiency the ratio between the several of received data packets and the number of sent data packets as a method of the packets inter-arrival time. Then, they are interested in the evolution of the sensitivity network according to the simulation time (msec) and simulator used MATLAB 2016a.

WSN (Wireless sensor network), BFOA (bacteria foraging optimization algorithm) and SEP (Stable Election Protocol).

"REAL TIME WATER QUALITY MONITORING SYSTEM WITH SMART SENSOR USING SEP AND BFOA ALGORITHIM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.234-242, April-2019, Available :http://www.jetir.org/papers/JETIR1904C38.pdf

"REAL TIME WATER QUALITY MONITORING SYSTEM WITH SMART SENSOR USING SEP AND BFOA ALGORITHIM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp234-242, April-2019, Available at : http://www.jetir.org/papers/JETIR1904C38.pdf