A Study on Indoor Environment Monitoring System via WSN

2014 ◽  
Vol 898 ◽  
pp. 598-601
Author(s):  
Zhi Chao Chen ◽  
Fu Yang Chen ◽  
Bin Jiang
Keyword(s):  
Monitoring System ◽  
Indoor Environment ◽  
Environmental Parameters ◽  
Life Time ◽  
Sensor Nodes ◽  
Sensor Technology ◽  
Formaldehyde Concentration ◽  
Environment Monitoring ◽  
Close Relationship ◽  
Machine Interface

The quality of indoor environment has close relationship with peoples health, while people spend most time indoor during their life time. The development of relative technologies gives us a chance to monitor and change the indoor environment conveniently, such as sensor technology, computer technology and wireless communication technology. WSN (Wireless Sensor Network) has been widely used in many areas and especially in environment monitoring applications. This paper proposes a monitoring system applied in indoor environment which can provide an access to four kinds of parameters, including temperature, humidity, formaldehyde concentration and light intensity. The system is an application of WSN based on TinyOS. The system presented in this thesis is comprised of an upper PC, a sink node and a few sensor nodes. In addition, a monitoring platform with friendly human-machine interface is designed on the upper PC. The result of system test shows that this system can monitor the environmental parameters indoor sequentially and reliably.

scholarly journals Wireless Sensor Networks for Indoor Environment Monitoring Using LabVIEW

2011 ◽  
pp. 87-90
Author(s):  
Mrutyunjay Rout ◽  
Dr. Harish Kumar Verma ◽  
Subhashree Das
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Indoor Environment ◽  
Environmental Parameters ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Environment Monitoring ◽  
Wireless Sensor Nodes ◽  
Local Decision ◽  
Mems Technology

Wireless sensor networks (WSNs) have gained worldwide attention in recent years, particularly with the rapid progress in Micro-Electro-Mechanical Systems (MEMS) technology which has facilitated the development of smart sensors. These sensors are small, with limited processing and computing resources, and they are inexpensive compared to traditional sensors. These sensor nodes can sense, measure, and gather information from the environment and, based on some local decision process, they can transmit the sensed data to the user. WSNs are large networks made of a numerous number of sensor nodes with sensing, computation, and wireless communication capabilities. In present work we provide a brief summary of the state-ofthe- art in wireless sensor networks, investigate the feasibility of indoor environment monitoring using crossbow wireless sensor nodes. Here we used nesC programming language and TinyOS operating system for programming Crossbow sensor nodes and LabVIEW GUI is used for displaying different indoor environmental parameters such as temperature, humidity and light acquired from different Wireless sensor nodes. These sensor readings can help building administrators to monitor the physical conditions of the environment in a building for creating optimized energy usage.

scholarly journals INTELLIGENT AQUACULTURE ENVIRONMENT MONITORING SYSTEM BASED ON LORA COMMUNICATION TECHNOLOGY

2021 ◽  
pp. 109-120
Author(s):  
Cai Huiying ◽  
Li Fangzhen ◽  
Lv Peng ◽  
Ran Lingqiang ◽  
Zou Lida
Keyword(s):  
Dissolved Oxygen ◽  
Real Time ◽  
Monitoring System ◽  
Communication Technology ◽  
Environmental Parameters ◽  
Sensor Nodes ◽  
Environment Monitoring ◽  
Pid Algorithm ◽  
High Measurement ◽  
Intelligent Management

In view of the nonlinearity and large time delay characteristics of the aquaculture, this paper proposes an environment monitoring system based on low long range (LoRa) communication technology. The system integrates sensor nodes, dissolved oxygen regulation node, LoRa communication network and personal computer (PC) platform to realize real-time monitoring, storage and data sharing. The environmental parameters were processed by programmable logic controller (PLC) intelligent controller, in which, the dissolved oxygen was adjusted with the variable universe fuzzy PID algorithm. The system was tested in a fish pond with an area of 110*120 square meters. The results show that the system can obtain temperature, pH and dissolved oxygen in real time and it has the advantages of high measurement accuracy, stable and reliable data transmission, and can satisfy the needs of aquaculture intelligent management.

Design of Agriculture Environment Monitoring System Based on Wireless Sensor Network

2012 ◽  
Vol 588-589 ◽  
pp. 1095-1098 ◽  
Author(s):  
Bi Hua Zhu ◽  
Ying Li Zhu
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Monitoring System ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Sensor Technology ◽  
Environment Monitoring ◽  
Agricultural Environment ◽  
Agricultural Modernization ◽  
Communication Module

With the development of agricultural modernization, agricultural environment protection, sensor technology, MEMS, wireless communications, Wireless Sensor Networks have been paid great attention in industry field and our daily life, this paper designs an agricultural environment monitoring system based on wireless sensor networks, and gives the hardware design of sensor nodes and the flowchart of software. In order to meet requirements of agricultural environment monitoring signals, MSP430F149 is chosen as the microprocessor, and CC2420 module acts as the wireless communication module. The system can real-timely monitor agriculture environmental information, such as the temperature, humidity and light intensity.

Power Control DSR Routing in Tunnel Environment Monitoring

2012 ◽  
Vol 524-527 ◽  
pp. 815-818
Author(s):  
Deng Yuan Xu ◽  
Zhong Wei Hou
Keyword(s):  
Power Control ◽  
Routing Algorithm ◽  
Life Time ◽  
Residual Energy ◽  
Sensor Nodes ◽  
Cross Layer Design ◽  
Transmission Power ◽  
Environment Monitoring ◽  
Time Data ◽  
Dynamic Source

As one of important technologies of IOT (Internet of Things), WSN (Wireless Sensor Networks) has been used in tunnel environmental monitoring. Tunnel environment monitoring has its particularity that WSN nodes show linear topologies. Traditional routing algorithms in WSN do not consider the linear topology of sensor nodes in tunnel and are difficult to realize long-time data transmission in limited battery power. In this paper, we propose Power Control Dynamic Source Routing algorithm (PC-DSR) by the thought of cross-layer design. Routing table is established according to the distance between nodes and the residual energy of nodes and optimum transmission power is calculated in order to save nodes’ power and prolong the life-time of the whole networks. Simulation results show that the novel algorithm can save node's transmission power, which increase the WSN lifetime of 12.3%.

scholarly journals An indoor environment monitoring system using low-cost sensor network

2017 ◽  
Vol 141 ◽  
pp. 660-666 ◽  
Author(s):  
Oluleke Bamodu ◽  
Liang Xia ◽  
Llewellyn Tang
Keyword(s):  
Sensor Network ◽  
Monitoring System ◽  
Indoor Environment ◽  
Low Cost ◽  
Environment Monitoring
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