TY  - JOUR
T1  - Study and Implementation of Environmental Monitoring System (EMS) Using WSN
AU - Karthikeyan, N.K. AU - Venkatachalam, K. AU - Prabhakaran, R. 
JO  - Asian Journal of Information Technology
VL  - 11
IS  - 6
SP  - 216
EP  - 224
PY  - 2012
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2012.216.224
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2012.216.224
KW  - WSN
KW  -EMS
KW  -MEMS
KW  -mote
KW  -SQL
KW  -India
AB  - Wireless sensor networks are currently an active research 
  area mainly due to the potential of their applications. A WSN consists of number 
  of sensors spread across a geographical area. Each sensor has wireless communication 
  capability and some level of intelligence for signal processing and networking 
  of data. Sensor networks require technologies from three different research 
  areas: sensing, communication and computing. Sensor Networks (SNs) facilitate 
  the study of fundamental processes and the development of response systems. 
  Various applications of WSN are animal habitat study, health monitoring, military 
  applications, environmental monitoring, etc. Among these, environmental monitoring 
  represents a class of sensor networks which facilitates the process of monitoring 
  of the environmental variables such as temperature, humidity, light, etc. In 
  agricultural sector, at present farmers are using conventional methods for environmental 
  monitoring which has a problem of poor accuracy and efficiency. So, an effective 
  environmental monitoring system is needed to provide an interface for collecting 
  and analyzing the measured values from the agricultural field. In the proposed 
  research, sensor nodes in a WSN professional kit sense temperature, light and 
  humidity from their surroundings and send these parameters to the base station. 
  The base station in turn sends to the interface called Mote view. Mote view 
  interface is connected with postgre SQL and through web applications data is 
  viewed and inserted in SQL. In Web applications client side data can be viewed 
  by target audience. Its server tier provides data logging, database storage 
  for forwarding sensor data from Mote gateway for further processing and analyzing. 
  The maximum, minimum and average value of each parameter is analyzed. These 
  are updated to server data base along with the given location and date for processing. 
  In addition to the environmental monitoring of various parameters, the project 
  also aims to provide an alert signal if the conditions are exceeding certain 
  threshold level in a real-world environment.
ER  -