الفهرس 
Literature Review on Fuzzy Logic in Water Monitoring Through WSNOnly 14 pages are availabe for public view
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Abstract
Wireless Sensor Network (WSN) comprises a huge amount of sensor nodes arrayed densely in the environment. The arrayed sensor nodes gather information and send the gathered data towards the sink. This idea can be utilized for various critical issues where human manual contribution is difficult. There are many applications based on WSN such as fire detection in aircraft dry bays and engine compartments [1], traffic engineering [2], smart homes [3] and Event Detection in Wireless Sensor Networks [4].
One of the most attracting environmental applications is water parameters monitoring which is essential to protect fish farms. The deployment of such sensor nodes requires the use of both convenient and compatible control technique and sensors. Therefore, a compatible control system is required to characterize the water parameters that sensor nodes can understand. Most previous work in WSN uses precise, also called crisp, values to specify the water parameters. However, sensor readings are not always precise. In addition, some of the sensor readings may be affected and dependent on the others. Therefore, wrong decision will be taken. This makes the determination of precise values a very difficult task. Therefore, we believe that utilizing crisp values to characterize WSN events is rather an unsuitable technique. On the other hand, fuzzy logic might be better able to classify the issues that are facing the crisp logic.
This thesis discusses in details fuzzy logic control system used in water monitoring system for fish farms. Furthermore, this fuzzy control system is used in controlling three main water parameters which are temperature, the power of Hydrogen (pH) and turbidity to keep the
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environment in good conditions for aquatic animal’s survival.