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NETWORK SUITABILITY STUDY FOR TRANSMISSION LINE SLOPE MONITORING USING GIS-BASED TECHNIQUE

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dc.contributor.authorMustafa I.S.en_US
dc.contributor.authorDeros S.N.M.en_US
dc.contributor.authorDin N.M.en_US
dc.contributor.authorHaroun F.M.E.en_US
dc.contributor.authorid26967833900en_US
dc.contributor.authorid57188721836en_US
dc.contributor.authorid9335429400en_US
dc.contributor.authorid57218938188en_US
dc.date.accessioned2023-05-29T09:36:17Z
dc.date.available2023-05-29T09:36:17Z
dc.date.issued2022
dc.description.abstractTransmission line slope monitoring is crucial to the electricity utility company in ensuring an uninterruptable power supply to the public. Common practice in slope monitoring is by deploying appropriate sensors that can automatically detect displacement or anomalies of the slopes. Sensor data were collected electronically via wireless communications and distributed through a communication network to a centralized location (base station) for data processing. Such system relied heavily on communication stability at the slope area. However, in a challenging terrain, the communication tasked becomes daunting and raised the need to hop the data from one site to the other until a site with a telecommunication coverage is found. Hence, the requirement of optimized location determination is becoming an important measure. This study proposes a site suitability identification technique for base station placement in transmission line slope monitoring to ensure uninterrupted communications. The GIS-based technique using Weighted Linear Combination for generating a suitability map with standardized Fuzzy Membership functions and Analytical Hierarchy Process were designed and applied in this study. This had been done by assigning the weightage of each contributing factor such as the network coverage, slope, elevation and land use. A case study was conducted in Cameron Highland, Malaysia. From this study, 7 sites for base station location placement were identified and they can cover the length of the transmission line at the study area. For future study and application, this methodology can be used for other remote network suitability identification analysis. � School of Engineering, Taylor's University.en_US
dc.description.natureFinalen_US
dc.identifier.epage3459
dc.identifier.issue5
dc.identifier.scopus2-s2.0-85142414327
dc.identifier.spage3447
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85142414327&partnerID=40&md5=1e88f8c78cd77c6e03b8505d74ec6545
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/26714
dc.identifier.volume17
dc.publisherTaylor's Universityen_US
dc.sourceScopus
dc.sourcetitleJournal of Engineering Science and Technology
dc.titleNETWORK SUITABILITY STUDY FOR TRANSMISSION LINE SLOPE MONITORING USING GIS-BASED TECHNIQUEen_US
dc.typeArticleen_US
dspace.entity.typePublication
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