IPTEK The Journal for Technology and Science
Vol 33, No 1 (2022)

Optimization of Access Point Positioning on Wi-Fi Networks Using the K-Means Clustering Method

Faiz Ainun Karima (Informatics Department, Institut Teknologi Sepuluh Nopember, Surabaya)
Ary Mazharuddin Shiddiqi (Informatics Department, Institut Teknologi Sepuluh Nopember, Surabaya)



Article Info

Publish Date
20 May 2022

Abstract

Uneven distribution is a common problem in setting up access points where some areas have many signals colliding with each other and others have no signals at all (blank spots). As a result, proper access point positioning on the WI-FI network is required to optimize the number of access points used and the signal strength received while maintaining the same coverage area's functionality. In this study, signal strength measurement is used to obtain the estimated distance using the Received Signal Strength Indicator (RSSI) method. The server analyzes using the K-Means Clustering algorithm to cluster the observation area. The output of this classification is the mapping of dense regions (traffic) and loose regions to determine the coverage areas of each access point. This approach aims to optimize the placement of access points in terms of their number and specifications.

Copyrights © 2022






Journal Info

Abbrev

jts

Publisher

Subject

Computer Science & IT

Description

IPTEK The Journal for Technology and Science (eISSN: 2088-2033; Print ISSN:0853-4098), is an academic journal on the issued related to natural science and technology. The journal initially published four issues every year, i.e. February, May, August, and November. From 2014, IPTEK the Journal for ...