Energy efficient wireless sensor network and low power consumption station design for an urban water level monitoring system

2016 ◽  
Author(s):  
Tuan-Duc Nguyen
Keyword(s):  
Wireless Sensor Network ◽  
Power Consumption ◽  
Low Power ◽  
Water Level ◽  
Energy Efficient ◽  
Wireless Sensor ◽  
Low Power Consumption ◽  
Urban Water ◽  
Level Monitoring ◽  
Water Level Monitoring

scholarly journals Wireless Sensor Network for Real-time Flood Monitoring Based on 6loWPAN Communication Standard

2016 ◽  
Vol 1 (1) ◽  
pp. 12-22 ◽  
Author(s):  
Nuhu B. K. ◽  
Arulogun O. T. ◽  
Adeyanju I. A. ◽  
Abdullahi I. M.
Keyword(s):  
Wireless Sensor Network ◽  
Water Level ◽  
Real Time ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Major Disaster ◽  
Flood Monitoring ◽  
Monitoring Application ◽  
Level Monitoring ◽  
Water Level Monitoring

Riverine flood is a major disaster faced by most countries and has significant adverse effect on long term economic growth of affected regions and their environments. Several systems have previously employed different technologies to monitor riverine flood but are expensive with low accuracy and consumes high amount of energy. In this paper, we proposed an energy efficient and accurate flood monitoring system. The system leverages on Internet Protocol Version 6 over Low Power Wireless Personal Area Network (6loWPAN) technology to construct a Wireless Sensor Network (WSN) comprising of two XM1000 motes and a rule-base water level monitoring application. The motes were configured using NesC programming for flood monitoring with Basestation and water level sensing applications. The water level sensing mote samples and transmits real-time water level information to the Basestation mote which interfaces with a rule-based water level monitoring application. The application compares current water level with a predetermined threat level and alerts relevant agencies when flood is imminent via an email. The results obtained from the emulation of the developed system showed that, it achieved an accuracy of 95.3% in water level monitoring with a Mean Squared Error of 5.1. The power consumed in transmitting a packet of 2 bytes payload plus other overhead was 0.4µJ and 0.0396mJ with and without 6loWPAN configuration respectively.

Research on the Communication Nodes Design of Wireless Sensor Network Data Based on ZIGBEE

2014 ◽  
Vol 998-999 ◽  
pp. 1315-1318 ◽  
Author(s):  
Xiang Jun Xu
Keyword(s):  
Wireless Sensor Network ◽  
Power Consumption ◽  
Low Power ◽  
Sensor Network ◽  
Design Method ◽  
Research Work ◽  
Design Methods ◽  
Wireless Sensor ◽  
Low Power Consumption ◽  
Zigbee Protocol

Wireless Sensor Network (WSN), is in the rapid development and widely applied to many fields in recent years due to its low cost, low power consumption and so on. This thesis focuses on the design method of low power consumption and small size WSN node based on ZIGBEE protocol. The main research work and achievements of the thesis are as follows: Firstly, WSN ZIGBEE protocol is researched in detail. The architecture and each layer's function of ZIGBEE protocol are analyzed, and a node design method based on ZIGBEE protocol is proposed. Secondly, design methods of WSN node are discussed. CC2420 RF chip and ATmega128L microprocessor are chosen as the main chips, and their features and performance are described in detail. Furthermore, design methods of each module circuit are introduced.

scholarly journals Application of Wireless Sensor Network based on LoRa in City Gas Meter Reading

2017 ◽  
Vol 13 (12) ◽  
pp. 104 ◽  
Author(s):  
Kun Wang
Keyword(s):  
Wireless Sensor Network ◽  
Wireless Communication ◽  
Power Consumption ◽  
Low Power ◽  
Sensor Network ◽  
Communication Technology ◽  
Wireless Sensor ◽  
Low Power Consumption ◽  
Long Distance ◽  
Reading System

<span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: DE; mso-bidi-language: AR-SA;">At present, the common meter reading method in gas meter reading system is manual. The meter reader enters the meter reading system to calculate the cost after getting the reading. This work is not only labour-intensive, but also inefficient. In addition, incorrect reading may occur due to human errors. With the development of the wireless communication technology, a wireless communication technology named LoRa for long-distance and low-power-consumption devices appeared. LoRa is a wireless communication technology with long transmission distance, low power consumption, low transmission speed, low complexity and low cost. It is mainly used in automatic control and internet of things. Through the comparison and analysis of several wireless communication technologies, a gas meter reading platform based on LoRa spread spectrum and wireless sensors is proposed. First of all, this paper briefly introduces the LoRa wireless communication technology and machine vision technology. Secondly, it gives a detailed introduction to the overall design of the system which includes system architecture design, information acquisition terminal, image acquisition module and wireless sensor module. Finally, an experiment is carried out in a residential area. The results show that the gas meter reading platform based on LoRa and wireless sensor network has a high practical value.</span>

scholarly journals A High-Accuracy and Power-Efficient Self-Optimizing Wireless Water Level Monitoring IoT Device for Smart City

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 1936
Author(s):  
Tsun-Kuang Chi ◽  
Hsiao-Chi Chen ◽  
Shih-Lun Chen ◽  
Patricia Angela R. Abu
Keyword(s):  
Power Consumption ◽  
Water Level ◽  
Smart City ◽  
High Accuracy ◽  
Control Device ◽  
Power Efficient ◽  
Sensor Module ◽  
Monitoring Applications ◽  
Level Monitoring ◽  
Water Level Monitoring

In this paper, a novel self-optimizing water level monitoring methodology is proposed for smart city applications. Considering system maintenance, the efficiency of power consumption and accuracy will be important for Internet of Things (IoT) devices and systems. A multi-step measurement mechanism and power self-charging process are proposed in this study for improving the efficiency of a device for water level monitoring applications. The proposed methodology improved accuracy by 0.16–0.39% by moving the sensor to estimate the distance relative to different locations. Additional power is generated by executing a multi-step measurement while the power self-optimizing process used dynamically adjusts the settings to balance the current of charging and discharging. The battery level can efficiently go over 50% in a stable charging simulation. These methodologies were successfully implemented using an embedded control device, an ultrasonic sensor module, a LORA transmission module, and a stepper motor. According to the experimental results, the proposed multi-step methodology has the benefits of high accuracy and efficient power consumption for water level monitoring applications.

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