scholarly journals Real Time Universal Scalable Wireless Sensor Network for Environmental Monitoring Application

2018 ◽  
Vol 10 (6) ◽  
pp. 68-75 ◽  
Author(s):  
Idakwo Monday Abutu ◽  
◽  
Umoh J. Imeh ◽  
Tekanyi M.S Abdoulie ◽  
Adedokun E. Adewale ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Environmental Monitoring ◽  
Real Time ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Monitoring Application

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.

scholarly journals Real Time Environmental Monitoring in Palm Oil Plantation Using Wireless Sensor Network

2015 ◽  
Vol 2 (1) ◽  
Author(s):  
Reza Firsandaya Malik ◽  
Muhammad Hafiz ◽  
Achmad Nopransyah ◽  
Muhammad Reyhan Zalbina ◽  
Tri Wanda Septian
Keyword(s):  
Wireless Sensor Network ◽  
Environmental Monitoring ◽  
Real Time ◽  
Sensor Network ◽  
Palm Oil ◽  
Wireless Sensor

scholarly journals Real Time Environmental Monitoring in Palm Oil Plantation Using Wireless Sensor Network

2015 ◽  
Vol 2 (1) ◽  
Author(s):  
Reza Firsandaya Malik ◽  
Muhammad Hafiz ◽  
Achmad Nopransyah ◽  
Muhammad Reyhan Zalbina ◽  
Tri Wanda Septian
Keyword(s):  
Wireless Sensor Network ◽  
Environmental Monitoring ◽  
Real Time ◽  
Sensor Network ◽  
Palm Oil ◽  
Wireless Sensor

A Novel and Smart Wireless Sensor Network System for Real Time Aquaculture Applications

2020 ◽  
Author(s):  
Lakshmi Narayana Thalluri ◽  
Jitendra Prasad Ayodhya ◽  
Yuva Raju Chava ◽  
Bhimeswara Anjaneya Prasad Tati
Keyword(s):  
Wireless Sensor Network ◽  
Real Time ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Network System

scholarly journals A Remote Monitoring System of Logistics Carrier Based on Wireless Sensor Network

2018 ◽  
Vol 14 (01) ◽  
pp. 4
Author(s):  
Wang Weidong
Keyword(s):  
Wireless Sensor Network ◽  
Real Time ◽  
Sensor Network ◽  
Monitoring System ◽  
Remote Monitoring ◽  
Monitoring Network ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Remote Monitoring System ◽  
Monitoring Center

To improve the efficiency of the remote monitoring system for logistics transportation, we proposed a remote monitoring system based on wireless sensor network and GPRS communication. The system can collect information from the wireless sensor network and transmit the information to the ZigBee interpreter. The monitoring system mainly includes the following parts: Car terminal, GPRS transmission network and monitoring center. Car terminal mainly consists by the Zigbee microcontroller and peripherals, wireless sensor nodes, RFID reader, GPRS wireless communication module composed of a micro-wireless monitoring network. The information collected by the sensor communicates through the GPRS and the monitoring center on the network coordinator, sends the collected information to the monitoring center, and the monitoring center realizes the information of the logistics vehicle in real time. The system has high applicability, meets the design requirements in the real-time acquisition and information transmission of the information of the logistics transport vehicles and goods, and realizes the function of remote monitoring.

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