Pengembangan Mekanisme Change Detection Untuk Efisiensi Energi Pada Wifi-Based Indoor Positioning System

Hendi, Ade (2020) Pengembangan Mekanisme Change Detection Untuk Efisiensi Energi Pada Wifi-Based Indoor Positioning System. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Pengembangan mekanisme change detection mempunyai peranan penting terhadap Indoor Positioning System (IPS). Namun permasalahan yang masih umum dijumpai adalah konsumsi energi yang tinggi, karena proses WiFi scanning berjalan secara terus menerus. Proses WiFi scanning mengirimkan data dari klien ke server secara terus menerus, terkadang memberikan informasi yang sama dan berulang kepada user. Informasi yang dikirim secara redudan bisa berdampak pada konsumsi energi yang tinggi. Penelitian ini mengusulkan mekanisme perbaikan dengan change detection untuk penghematan energi dalam melakukan sampling secara adaptif pada kekuatan sinyal WiFi dengan accelerometer sebagai trigger. Mekanisme change detection yang dilakukan adalah mengukur nilai pada accelerometer dengan menentukan silent zone. Silent Zone merupakan rentang nilai yang didapatkan ketika accelerometer dalam kondisi diam. Apabila diketahui nilai kekuatan sinyal pada accelerometer melebihi nilai silent zone, maka diidentifikasi user dalam kondisi bergerak dan secara otomatis proses WiFi scanning akan berjalan. Change detection dengan Bluetooth mempunyai proses yang sama dengan menggunakan accelerometer. Algoritma yang diusulkan dapat menghasilkan penghematan daya baterai sebesar 4,384% untuk scanning dengan change detection menggunakan accelerometer dan 2,666% untuk change detection menggunakan Bluetooth.
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The development of change detection mechanism has an important role in the Indoor Positioning System (IPS). In IPS technology, a lot of battery power will be used because the WiFi scanning process runs continuously. The WiFi scanning process sends data from the client to the server continuously, sometimes providing the same and repeatable information to the user. Information sent redundantly can have an impact on high energy consumption. In this research, the researchers developed a repair mechanism with change detection to save energy in an adaptive sampling of the strength of the WiFi signal with the accelerometer as a trigger for the adaptive process. Change detection mechanism that is done is measuring the signal strength on the accelerometer by determining the silent zone. Silent Zone is the range of values obtained when the accelerometer is at rest. If it is known that the signal strength value on the Accelerometer exceeds the value of the silent zone, the user is identified in a mobile condition, and the WiFi scanning process will automatically run. Change detection with Bluetooth has the same process using an accelerometer. The algorithm we propose can produce a battery-saving of 4.384% for scanning with change detection using an accelerometer and 2.666% for change detection using Bluetooth.

Item Type: Thesis (Masters)
Additional Information: RTIf 005.3 Hen p-1 2020
Uncontrolled Keywords: indoor positioning system, change detection, accelerometer, bluetooth, sampling secara adaptif
Subjects: G Geography. Anthropology. Recreation > G Geography (General) > G109.5 Global Positioning System
Q Science > QA Mathematics > QA75 Electronic computers. Computer science. EDP
Q Science > QA Mathematics > QA76.585 Cloud computing. Mobile computing.
Q Science > QA Mathematics > QA76.6 Computer programming.
Q Science > QA Mathematics > QA76.76.A65 Application software. Enterprise application integration (Computer systems)
Q Science > QA Mathematics > QA76.774.A53 Android
Divisions: Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Informatics Engineering > 55101-(S2) Master Thesis
Depositing User: Ade Hendi
Date Deposited: 19 Jun 2023 07:55
Last Modified: 19 Jun 2023 07:55
URI: http://repository.its.ac.id/id/eprint/72896

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