The experiment was in a type of 4 experimental wells with the size of width x length x height was equal to 0.5x1x 0.5 meters including the experimental well which had plants of Colocasiaesculenta (L.)Schott PandanusamaryllifoliusRoxb and Canna indica Linn and the rest was the control well without any plants. The time period of Alternating 5 days flooding and 2 days drying Soil. The parameter studied included BOD value suspended solids Total KjeldahlNitrogen Total Phosphorus pH and Oil and Grease. The research result found that the experimental well which had Colocasiaesculenta (L.)Schott PandanusamaryllifoliusRoxb and Canna indica Linn had the effectiveness in wastewater treatment higher than the control well without any plants. After treatment with the control well without any plants the experimental which had plants of Colocasiaesculenta (L.)Schott PandanusamaryllifoliusRoxb and Canna indicaLinn with the romoval percentage of BOD value at 22.66 69.93 63.48 and 76.37 respectively.Suspended Solids at 22.66 69.93 63.48 and 76.37 respectively.TotalKjeldahl Nitrogen at 26.41 68.67 64.21 and 72.99 respectively.Total Phosphorus at 52.26 81.6975.73and79.88respectively.pHat6.42 6.556.64and 6.88 respectively.Oil and Grease at 62.08 78.75 76.47 and 80.39respectively.

This article presents a design and development of a low rate wireless sensor network coordinator controller. Wireless sensor networks are cheap and comprised of a small fully autonomous processing communication and sensing devices. In this study develops the system for monitoring and flood warning. This research used small embedded micro controller. The system can expand into multi network and work with single processor. This design will reduce components and power assumption. The research use Propeller Chip by Parrallax Inc. This chip contains eight processors inside. All eight processors can perform tasks simultaneously or with coordination from other processors. A designed of system works together with wireless sensor networks. The first step of the experiment is creating main node and sub node in flooding area and finds transmission of data between them. Experimental results show that we can use single microcontroller work with multi-network. It can monitor result of network directly from Propeller chip by generating computer monitor signal.

This paper presents the development of a low rate and low power consumption wireless sensor network. Wireless sensor networks are cheap and comprised of a small fully autonomous processing communication and sensing devices. The purpose of this study is to develop the system for monitoring and flood warning. They will work with wireless sensor network (WSN) system. WSN has been restricted power supply communication distance and low computing power. But they will work with network in vast area send and receive raw data from each sensor node. It has the ability to cooperatively collect data and retransmit in order to process or alert. The first step of the experiment is creating main node and sub node in flooding area and finds transmission of data between them. When sensor node is not receiving or transmitting data the module can be switched into the sleep mode low power consumption mode

This paper presents the development of a low rate wireless sensor. Wireless sensor networks are cheap and comprised of a small fully autonomous processing communication and sensing devices. The purpose of this study is to develop the system for monitoring and flood warning. They will work with wireless sensor network (WSN) system. WSN has been restricted power supply communication distance and low computing power. But they will work with network in vast area send and receive raw data from each sensor node. It has the ability to cooperatively collect data and retransmit in order to process or alert. The first step of the experiment is creating main node and sub node in flooding area and finds transmission of data between them.

งานวิจัยนี้นำเสนอการสร้างตัวตรวจจับไร้สาย (Wireless sensor) แบบอัตราต่ำ (Low rate) ที่มีขนาดเล็กราคาไม่แพง ภายในมีส่วนประมวลผล ส่วนติดต่อสื่อสารและส่วนตรวจจับ (Sensing Device) เพื่อใช้ในระบบการเฝ้าสังเกต และตรวจจับการเกิดน้ำท่วม โดยนำมาใช้กับเครือข่ายตรวจจับไร้สาย (Wireless sensor networks : WSN) ข่อจำกัดของตัวตรวจจับอยู่ที่พลังงาน ระยะทางในการติดต่อสื่อสาร และความสามารถในการประมวลผล แต่จะทำงานร่วมกันเป็นเครือข่ายขนาดใหญ่ เพื่อตรวจจับเหตุการณ์ที่ต้องการในพื้นที่ขนาดใหญ่ ที่มีการเข้าถึงลำบากหรือต้องเสี่ยงภัย มีการรับส่งข้อมูลจากจุดตรวจจับ (Sensor Nods) แต่ละจุดรวบรวมและส่งต่อข้อมูลเพื่อนำไปประมวลผลหรือใช้ในการเตือนภัย ในขั้นต้นของการทดลองจะสร้างโนด และหาเปอร์เซ็นต์ของการรับส่งระหว่างโนดหลัก และโนดย่อย