GIS-based multicriteria analysis for landslide monitoring base station evaluation using ordered weight averaging

A slope monitoring system is important for power utilities since its assets, especially transmission lines at high altitude areas, are vulnerable to landslide. One of the best real-time monitoring approaches is to install appropriate sensors for detecting slope failure.Sensor data is collected elect...

Full description

Saved in:
Bibliographic Details
Main Authors: Mustafa I.S., Din N.M., Omar R.C.
Other Authors: 26967833900
Format: Article
Published: Alpha Publishers 2023
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uniten.dspace-25256
record_format dspace
spelling my.uniten.dspace-252562023-05-29T16:07:37Z GIS-based multicriteria analysis for landslide monitoring base station evaluation using ordered weight averaging Mustafa I.S. Din N.M. Omar R.C. 26967833900 9335429400 35753735300 A slope monitoring system is important for power utilities since its assets, especially transmission lines at high altitude areas, are vulnerable to landslide. One of the best real-time monitoring approaches is to install appropriate sensors for detecting slope failure.Sensor data is collected electronically via antenna and sent to a centralized data location via communication channels. This telemetry system relies on wide area communication accessible at that location. To improve network performance, the position of every base stations should be strategically planned to ensure data integrity. However, there are numerous factors to be considered when choosing the alternative of the communication technologies such as topography, accessibility, power supply availability and others. Therefore, this study proposes a Geographical Information System (GIS)-based system with an emphasis on the multi-criteria decision analysis (MCDA) for preliminary site suitability of base station placement. The factors are classified into five main criteria which are technical, topography, risk assessment, land cover and accessibility criteria and then the weight is justified by the experts for final weight consensus. Fuzzy membership function is used in standardization stage to reclassify and transform the input criteria data based on a range of specific set. The Analytical Hierarchy Process (AHP) is used to generate an alternative decision using a multi-criteria evaluation (MCE) technique. The criteria maps were combined and overlaid using weighted linear combination (WLC) techniques and ordered weighted average (OWA). The results yielded that GIS-WLC and OWA model can be integrated into MCDA to select and the optimal site of antenna base station placement. � 2020 Alpha Publishers. All rights reserved. Final 2023-05-29T08:07:37Z 2023-05-29T08:07:37Z 2020 Article 2-s2.0-85094119259 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85094119259&partnerID=40&md5=526a475fd18115c88c7caf051f78072e https://irepository.uniten.edu.my/handle/123456789/25256 10 9 5730 5747 Alpha Publishers Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description A slope monitoring system is important for power utilities since its assets, especially transmission lines at high altitude areas, are vulnerable to landslide. One of the best real-time monitoring approaches is to install appropriate sensors for detecting slope failure.Sensor data is collected electronically via antenna and sent to a centralized data location via communication channels. This telemetry system relies on wide area communication accessible at that location. To improve network performance, the position of every base stations should be strategically planned to ensure data integrity. However, there are numerous factors to be considered when choosing the alternative of the communication technologies such as topography, accessibility, power supply availability and others. Therefore, this study proposes a Geographical Information System (GIS)-based system with an emphasis on the multi-criteria decision analysis (MCDA) for preliminary site suitability of base station placement. The factors are classified into five main criteria which are technical, topography, risk assessment, land cover and accessibility criteria and then the weight is justified by the experts for final weight consensus. Fuzzy membership function is used in standardization stage to reclassify and transform the input criteria data based on a range of specific set. The Analytical Hierarchy Process (AHP) is used to generate an alternative decision using a multi-criteria evaluation (MCE) technique. The criteria maps were combined and overlaid using weighted linear combination (WLC) techniques and ordered weighted average (OWA). The results yielded that GIS-WLC and OWA model can be integrated into MCDA to select and the optimal site of antenna base station placement. � 2020 Alpha Publishers. All rights reserved.
author2 26967833900
author_facet 26967833900
Mustafa I.S.
Din N.M.
Omar R.C.
format Article
author Mustafa I.S.
Din N.M.
Omar R.C.
spellingShingle Mustafa I.S.
Din N.M.
Omar R.C.
GIS-based multicriteria analysis for landslide monitoring base station evaluation using ordered weight averaging
author_sort Mustafa I.S.
title GIS-based multicriteria analysis for landslide monitoring base station evaluation using ordered weight averaging
title_short GIS-based multicriteria analysis for landslide monitoring base station evaluation using ordered weight averaging
title_full GIS-based multicriteria analysis for landslide monitoring base station evaluation using ordered weight averaging
title_fullStr GIS-based multicriteria analysis for landslide monitoring base station evaluation using ordered weight averaging
title_full_unstemmed GIS-based multicriteria analysis for landslide monitoring base station evaluation using ordered weight averaging
title_sort gis-based multicriteria analysis for landslide monitoring base station evaluation using ordered weight averaging
publisher Alpha Publishers
publishDate 2023
_version_ 1806428230782025728
score 13.214268