{"title":"Forest Fire Detection using LoRa Wireless Mesh Topology","authors":"Adnan, A. Salam, Arham Arifin, M. Rizal","doi":"10.1109/EIConCIT.2018.8878488","DOIUrl":null,"url":null,"abstract":"Events that causes delays in handling fires was a delay in information to warn of a forest fire. To overcome the problem, we conduct a research so that forest fires can be quickly detected. The problem is generally around the forests there is no data communication network available so that disable the delivery of information in the event of a forest fire. Therefore, we designed forest fire detectors that use LoRa mesh network. The detector is able to inform us where the fire location using Google map. Forest fire detector constitute of Arduino Uno, LoRa modules, DHT 11 humidity and temperature sensor and the MQ2 sensor. We put several nodes within a forest. In this case of forest fire alarm, the best LoRa configurations are BW 250 CR 4/5 SF 10. Using these configuration, we can send data to the LoRa gateway which is 500 meters away from the sensor nodes. With the distance between devices so far, the RSSI level received by the gateway is -136 dBm in addition to avoid collisions between four sensor node we recommended a transmission interval is equal 20200 ms.","PeriodicalId":424909,"journal":{"name":"2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EIConCIT.2018.8878488","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 22
Abstract
Events that causes delays in handling fires was a delay in information to warn of a forest fire. To overcome the problem, we conduct a research so that forest fires can be quickly detected. The problem is generally around the forests there is no data communication network available so that disable the delivery of information in the event of a forest fire. Therefore, we designed forest fire detectors that use LoRa mesh network. The detector is able to inform us where the fire location using Google map. Forest fire detector constitute of Arduino Uno, LoRa modules, DHT 11 humidity and temperature sensor and the MQ2 sensor. We put several nodes within a forest. In this case of forest fire alarm, the best LoRa configurations are BW 250 CR 4/5 SF 10. Using these configuration, we can send data to the LoRa gateway which is 500 meters away from the sensor nodes. With the distance between devices so far, the RSSI level received by the gateway is -136 dBm in addition to avoid collisions between four sensor node we recommended a transmission interval is equal 20200 ms.