Simorangkir, Niklas Parlindungan and Bach, Robert and Pratama, Aditya T. and Galinium, Maulahikmah (2022) ΟΡΤΙΜΙΖATION OF THE ENERGY CONSUMPTION FOR DATA COLLECTION AND TRANSMISSION IN A DIGITAL TWIN APPLICATION. Bachelor thesis, Swiss German University.
Text
IE_Niklas Simorangkir_1.pdf Restricted to Repository staff only Download (263kB) |
|
Text
IE_Niklas Simorangkir_2.pdf Restricted to Repository staff only Download (1MB) |
|
Text
IE_Niklas Simorangkir_3.pdf Restricted to Repository staff only Download (2MB) |
|
Text
IE_Niklas Simorangkir_4.pdf Restricted to Repository staff only Download (1MB) |
|
Text
IE_Niklas Simorangkir_5.pdf Restricted to Repository staff only Download (248kB) |
|
Text
IE_Niklas Simorangkir_REF.pdf Download (1MB) |
|
Text
IE_Niklas Simorangkir_TOC.pdf Download (1MB) |
Abstract
The Internet of Things (IoT) has become an important aspect of daily life. It offers various functions for people to utilize. IoT has become indispensable due to its numerous capabilities, one of which is its ability to upload data to the cloud through the IoT network, especially when there is a significant amount of data involved. However, it has become imperative that certain optimizations are needed to ensure that conducting such activities does not inflict a high cost. Optimizing energy consumption is one of these interests, and there are multiple ways to achieve this, one of which is to select the best IoT module. Determining certain adjustments of the parameters will also help in the optimization of energy consumption. This is also helped by the use of digital twin, in which a virtual system is developed in imitation of the physical system; a simulation is one such example. By choosing the module with the lowest energy consumption value (10 J) to conduct certain activities and adjusting the parameters involved, the energy consumption will be optimized and the utilization of IoT will be implemented significantly better.
Item Type: | Thesis (Bachelor) |
---|---|
Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD9502 Energy consumption |
Divisions: | Faculty of Engineering and Information Technology > Department of Industrial Engineering |
Depositing User: | Mr Arinton Sinaga |
Date Deposited: | 10 Dec 2024 09:44 |
Last Modified: | 10 Dec 2024 09:44 |
URI: | http://repository.sgu.ac.id/id/eprint/2688 |
Actions (login required)
View Item |