Communication System on Wireless Sensor Networks using Raspberry Pi and Arduino for Monitoring Gas of Air Pollution

Mısbah, Mısbah; Astutik, Rini Puji; Eliyani,; Winarno, Hendra Ari; Muklish, Andy; Andesta, Deny

doi:10.1109/isitia.2018.8711371

Cited by 1 publication

(1 citation statement)

References 4 publications

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“…The calculation of BER in the communication system is based on the probability process of the amount of data received against the transmitted data. Based on [6] BER is presented in equation ( 1)…”

Section: Calculation Ber Systemmentioning

confidence: 99%

Implementation of Distributed Average Consensus Method on Wireless Sensor Network for Monitoring Temperature and Humidity in Switchgear Room

Putro

2021

Indones. J. Electr. Electron. Eng.

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The development of wireless sensor networks is currently very rapid in various sectors. One of the implementations of the wireless sensor network is for monitoring temperature and humidity. In monitoring a room or a large area, many nodes are installed at a certain point. With the number of senses by each node so that one data that can represent the area is needed. To get one data that can represent the data in that area, we need a consensus method. In this study, the average distributed consensus method was used to obtain data representation from an area's wireless sensor network. After testing and simulating the ideal range between WSN nodes is 30 meters where the average percentage of detection errors reaches 0%. And the maximum capability is 33 meters with an average percentage of error detection of 46%. If given a barrier between WSN nodes, the distance that can be reached becomes shorter, with an ideal distance of 16 meters with an average percentage of error detection of 0% and the farthest distance reaching 21 meters with a detection error of 50%. The results of the consensus method simulation show that the more slots are filled with consensus data about the results, the faster and easier convergence will be achieved, in this case the monitoring results represent the real situation.

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Section: Calculation Ber Systemmentioning

confidence: 99%

Implementation of Distributed Average Consensus Method on Wireless Sensor Network for Monitoring Temperature and Humidity in Switchgear Room

Putro

2021

Indones. J. Electr. Electron. Eng.

View full text Add to dashboard Cite

show abstract

Communication System on Wireless Sensor Networks using Raspberry Pi and Arduino for Monitoring Gas of Air Pollution

Cited by 1 publication

References 4 publications

Implementation of Distributed Average Consensus Method on Wireless Sensor Network for Monitoring Temperature and Humidity in Switchgear Room

Implementation of Distributed Average Consensus Method on Wireless Sensor Network for Monitoring Temperature and Humidity in Switchgear Room

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