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Multiple Sensor on Clustering Wireless Sensor Network to Tackle Illegal Cutting

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@article{IJASEIT8849,
   author = {Giva Andriana Mutiara and Nanna Suryana and Othman Mohd},
   title = {Multiple Sensor on Clustering Wireless Sensor Network to Tackle Illegal Cutting},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {10},
   number = {1},
   year = {2020},
   pages = {164--170},
   keywords = {illegal cutting; wireless sensor network; Xbee Pro S2C; sound sensor; vibration sensor.},
   abstract = {

This paper is intended to purpose a designed system using Wireless Sensor Network application. It is multiple sensors to tackle illegal cutting in the stage of a timber harvesting. This paper also discusses network performance and the costs of the purposed system. In every node in the networks, the system was built using a combined sound sensor and vibration sensor in which incorporated using Xbee Pro S2C. It is considered as a communication module at each sensor node and Arduino Nano to process the data.  The Wireless Sensor Network has been designed in three networks with the configuration of master and slave nodes in each network. This system was testing using several scenarios to have the data performance of the networks and the performance of the proposed system in the small forest and the opened area. The costs of the purposed system also compared related to the previous system. The result showed the optimum distance that can be applied in the WSN network as a real-time application using Xbee Pro S2C is less than 30 meters; meanwhile the time consumed to communicate between nodes is below 5 s. Therefore, the more slaves in the subnetwork will affect the performance of the system. The proposed system runs smoothly as predicted in the purposed system. All the testing is 100% completed and can be handled by the proposed system.

},    issn = {2088-5334},    publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},    url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=8849},    doi = {10.18517/ijaseit.10.1.8849} }

EndNote

%A Mutiara, Giva Andriana
%A Suryana, Nanna
%A Mohd, Othman
%D 2020
%T Multiple Sensor on Clustering Wireless Sensor Network to Tackle Illegal Cutting
%B 2020
%9 illegal cutting; wireless sensor network; Xbee Pro S2C; sound sensor; vibration sensor.
%! Multiple Sensor on Clustering Wireless Sensor Network to Tackle Illegal Cutting
%K illegal cutting; wireless sensor network; Xbee Pro S2C; sound sensor; vibration sensor.
%X 

This paper is intended to purpose a designed system using Wireless Sensor Network application. It is multiple sensors to tackle illegal cutting in the stage of a timber harvesting. This paper also discusses network performance and the costs of the purposed system. In every node in the networks, the system was built using a combined sound sensor and vibration sensor in which incorporated using Xbee Pro S2C. It is considered as a communication module at each sensor node and Arduino Nano to process the data.  The Wireless Sensor Network has been designed in three networks with the configuration of master and slave nodes in each network. This system was testing using several scenarios to have the data performance of the networks and the performance of the proposed system in the small forest and the opened area. The costs of the purposed system also compared related to the previous system. The result showed the optimum distance that can be applied in the WSN network as a real-time application using Xbee Pro S2C is less than 30 meters; meanwhile the time consumed to communicate between nodes is below 5 s. Therefore, the more slaves in the subnetwork will affect the performance of the system. The proposed system runs smoothly as predicted in the purposed system. All the testing is 100% completed and can be handled by the proposed system.

%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=8849 %R doi:10.18517/ijaseit.10.1.8849 %J International Journal on Advanced Science, Engineering and Information Technology %V 10 %N 1 %@ 2088-5334

IEEE

Giva Andriana Mutiara,Nanna Suryana and Othman Mohd,"Multiple Sensor on Clustering Wireless Sensor Network to Tackle Illegal Cutting," International Journal on Advanced Science, Engineering and Information Technology, vol. 10, no. 1, pp. 164-170, 2020. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.10.1.8849.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Mutiara, Giva Andriana
AU  - Suryana, Nanna
AU  - Mohd, Othman
PY  - 2020
TI  - Multiple Sensor on Clustering Wireless Sensor Network to Tackle Illegal Cutting
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 10 (2020) No. 1
Y2  - 2020
SP  - 164
EP  - 170
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - illegal cutting; wireless sensor network; Xbee Pro S2C; sound sensor; vibration sensor.
N2  - 

This paper is intended to purpose a designed system using Wireless Sensor Network application. It is multiple sensors to tackle illegal cutting in the stage of a timber harvesting. This paper also discusses network performance and the costs of the purposed system. In every node in the networks, the system was built using a combined sound sensor and vibration sensor in which incorporated using Xbee Pro S2C. It is considered as a communication module at each sensor node and Arduino Nano to process the data.  The Wireless Sensor Network has been designed in three networks with the configuration of master and slave nodes in each network. This system was testing using several scenarios to have the data performance of the networks and the performance of the proposed system in the small forest and the opened area. The costs of the purposed system also compared related to the previous system. The result showed the optimum distance that can be applied in the WSN network as a real-time application using Xbee Pro S2C is less than 30 meters; meanwhile the time consumed to communicate between nodes is below 5 s. Therefore, the more slaves in the subnetwork will affect the performance of the system. The proposed system runs smoothly as predicted in the purposed system. All the testing is 100% completed and can be handled by the proposed system.

UR - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=8849 DO - 10.18517/ijaseit.10.1.8849

RefWorks

RT Journal Article
ID 8849
A1 Mutiara, Giva Andriana
A1 Suryana, Nanna
A1 Mohd, Othman
T1 Multiple Sensor on Clustering Wireless Sensor Network to Tackle Illegal Cutting
JF International Journal on Advanced Science, Engineering and Information Technology
VO 10
IS 1
YR 2020
SP 164
OP 170
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 illegal cutting; wireless sensor network; Xbee Pro S2C; sound sensor; vibration sensor.
AB 

This paper is intended to purpose a designed system using Wireless Sensor Network application. It is multiple sensors to tackle illegal cutting in the stage of a timber harvesting. This paper also discusses network performance and the costs of the purposed system. In every node in the networks, the system was built using a combined sound sensor and vibration sensor in which incorporated using Xbee Pro S2C. It is considered as a communication module at each sensor node and Arduino Nano to process the data.  The Wireless Sensor Network has been designed in three networks with the configuration of master and slave nodes in each network. This system was testing using several scenarios to have the data performance of the networks and the performance of the proposed system in the small forest and the opened area. The costs of the purposed system also compared related to the previous system. The result showed the optimum distance that can be applied in the WSN network as a real-time application using Xbee Pro S2C is less than 30 meters; meanwhile the time consumed to communicate between nodes is below 5 s. Therefore, the more slaves in the subnetwork will affect the performance of the system. The proposed system runs smoothly as predicted in the purposed system. All the testing is 100% completed and can be handled by the proposed system.

LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=8849 DO - 10.18517/ijaseit.10.1.8849