TY - GEN
T1 - Trial and Evaluation of LoRa Performance for Smart System Multi-Client Model
AU - Rachmani, Achmad Fauzi
AU - Zulkifli, Fitri Yuli
PY - 2019/5/9
Y1 - 2019/5/9
N2 - Based on data from Director General of POSTEL Indonesia, the prospect of Internet of Things in Indonesia reached 444 trillion with 400 million sensors connected. Various sectors are beginning to implement IoT as their automation systems such as industry, health, logistics, and agriculture. The proposed IoT system in this paper is using LoRa module transceiver and Arduino microcontroller. The data is sent through LoRa 915 MHz from 3 node sensor to the master. After data received in master LoRa, then the data is passed through to the server to be analyzed. Based on the outdoor measurement at 1 km, Rx LoRa obtain the RSSI below-100 dBm with average of PDR 58%. In indoor condition the RSSI value varies from-46 dBm to-85 dBm with PDR above 90%. In outdoor area the path loss exponent value in range 2.81-2.92. Meanwhile indoor area path loss exponent value in range 3.76-3.90 for all client.
AB - Based on data from Director General of POSTEL Indonesia, the prospect of Internet of Things in Indonesia reached 444 trillion with 400 million sensors connected. Various sectors are beginning to implement IoT as their automation systems such as industry, health, logistics, and agriculture. The proposed IoT system in this paper is using LoRa module transceiver and Arduino microcontroller. The data is sent through LoRa 915 MHz from 3 node sensor to the master. After data received in master LoRa, then the data is passed through to the server to be analyzed. Based on the outdoor measurement at 1 km, Rx LoRa obtain the RSSI below-100 dBm with average of PDR 58%. In indoor condition the RSSI value varies from-46 dBm to-85 dBm with PDR above 90%. In outdoor area the path loss exponent value in range 2.81-2.92. Meanwhile indoor area path loss exponent value in range 3.76-3.90 for all client.
KW - arduino microcontroller
KW - IoT
KW - LoRa 915 MHz
KW - Path loss Exponent
KW - PDR
KW - RSSI
UR - http://www.scopus.com/inward/record.url?scp=85066885772&partnerID=8YFLogxK
U2 - 10.1109/ISITIA.2018.8710898
DO - 10.1109/ISITIA.2018.8710898
M3 - Conference contribution
AN - SCOPUS:85066885772
T3 - Proceeding - 2018 International Seminar on Intelligent Technology and Its Application, ISITIA 2018
SP - 39
EP - 44
BT - Proceeding - 2018 International Seminar on Intelligent Technology and Its Application, ISITIA 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 International Seminar on Intelligent Technology and Its Application, ISITIA 2018
Y2 - 30 August 2018 through 31 August 2018
ER -