Modelling of wireless sensor networks for detection land and forest fire hotspot
Indonesia located in South East Asia countries with tropical region, forest fires in Indonesia is one of big issue and disaster because it happens in almost of every year, this is because of some of region consist of peat land that high risk for fire especially in dry season. Riau Province is one of...
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| Main Authors: | , , , |
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| Format: | Article |
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Universitas Ahmad Dahlan
2019
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85080964993&doi=10.12928%2fTELKOMNIKA.v17i6.12971&partnerID=40&md5=65be993f204f066858e456d21000ba78 http://eprints.utp.edu.my/30163/ |
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| Summary: | Indonesia located in South East Asia countries with tropical region, forest fires in Indonesia is one of big issue and disaster because it happens in almost of every year, this is because of some of region consist of peat land that high risk for fire especially in dry season. Riau Province is one of region that regularly incident of forest fire with affected the length and breadth of Indonesia. Propose development of Wireless Sensor Networks (WSNs) for detection of land and forest fire hotspot in Indonesia as well as one of the main consents in this research, case location in Riau province is at one of the regions that high risk forest fire in dry season. WSNs technology used for ground sensor system to collect environmental data. Data training for fire hotspot detection is done in data center to determine and conclude of fire hotspot then potential to become big fire. The deployment of sensors located at several locations that has potential for fire incident, especially as data shown in previous case and forecast location with potential fire happen. Mathematical analysis is used in this case for modelling number of sensors required to deploy and the size of forest area. The design and development of WSNs give high impact and feasibility to overcome current issues of forest fire and fire hotspot detection in Indonesia. The development of this system used WSNs highly applicable for early warning and alert system for fire hotspot detection. © 2019 Universitas Ahmad Dahlan. |
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