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dc.contributor.authorRodrigo, UDNN
dc.contributor.authorWeerawardane, TL
dc.date.accessioned2023-06-27T09:33:58Z
dc.date.available2023-06-27T09:33:58Z
dc.date.issued2022
dc.identifier.urihttp://ir.kdu.ac.lk/handle/345/6416
dc.description.abstractThe forest coverage over 30% of the Earth's land surface assist to balance the water cycle as well as the natural conversion of O2 and CO2, which aids in organism respiration. Therefore, various research and studies have been paid attention to prevention of deforestation. Deforestation is mostly caused by forest fires, which can occur naturally or as a result of human negligence. Since a forest fire can be started by a single lightning strike, preventing them before they start is deemed impossible. However, early discovery and response can lower the frequency of occurrence. The study proposes a Wireless Sensor Network with smart sensor concept, which uses radio frequency communication as the communication technique and allows sensor nodes to connect with each other to verify the status of their neighbors. The base station or master node of the sensor network, which is located outside the forest cover, has been used to send out alerts using GSM technology. The communication network was built up with the help of HC-12 and NRF 24L01+ radio frequency transceivers, and the DHT- 11 temperature and humidity sensor were utilized for detection. The accuracy was tested through a different testing strategy with a prototype of a distributed single sink wireless sensor network, and the results were evaluated. A comprehensive system with more components can be developed to expand the sensor network to cover a large forest area.en_US
dc.language.isoenen_US
dc.subjectForest Fire Detection and Alertingen_US
dc.subjectWireless Sensor Networksen_US
dc.subjectSmart Sensorsen_US
dc.subjectInter Sensor Communicationen_US
dc.subjectHC-12 Communicationen_US
dc.subjectNRF24L01+ Communicationen_US
dc.titleSmart Wireless Forest Fire Alerting Systemen_US
dc.typeArticle Full Texten_US
dc.identifier.facultyComputingen_US
dc.identifier.journalKDU IRCen_US


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