An Assisted Living Oriented Information System Based on a Residential Wireless Sensor Network

Author(s):  
G. Virone ◽  
A. Wood ◽  
L. Selavo ◽  
Q. Cao ◽  
L. Fang ◽  
...  
Sensors ◽  
2014 ◽  
Vol 14 (6) ◽  
pp. 9692-9719 ◽  
Author(s):  
Can Tunca ◽  
Hande Alemdar ◽  
Halil Ertan ◽  
Ozlem Incel ◽  
Cem Ersoy

Author(s):  
Devadevan V. ◽  
Suresh Sankaranarayanan

Forest fire is the most common hazard which is a great threat to the ecosystem. Remote Sensing and GIS are widely used for forest fire detection. Wireless Sensor Network (WSN) is an emerging technology which is used to monitor environmental parameters towards alerting forest department officers for prevention or control. In this research, the authors developed Forest Fire Information System (FFIS) that provides interface to monitor, assess and analyze the forest fire data emanating from WSN which is a part of Intelligent Forest Fire Detection System. The information system also maintains necessary details of forest fire incidents that can be used for analysis and report generation. It also has a Decision Support System (DSS) integrated into it that can be used by forest officials for strategic planning. This has been developed using PHP and MySQL. This paper is an extension of research work carried about Intelligent Forest Fire Detection System using WSN.


2019 ◽  
Vol 886 ◽  
pp. 233-239
Author(s):  
Chanida Ruangsiriwattanakul

This research aimed to develop the prototype equipment for an information system of environmental monitoring and production factors in an agroforestry area with concepts of wireless sensor network technology controlled by microcontroller. There were 2 parts: 1) the sensor node functions various environmental monitoring such as temperature, humidity, smoke in an agroforestry area of agriculturists, and 2) the gateway station functions data collection from the sensor node via the Internet network stored in the cloud database system. Results from the wireless sensor network is the data of the inputs in the agroforestry area, such as temperature, humidity and CO2which displays data on the information system that agriculturists can use information to monitoring the environment for agriculture and support an agriculture system management. Improve production processes to increase productivity and predict future output


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