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Integrated IoT river monitoring network for real-time flood detection and water quality assessment in multi-station deployment / Siti Rasyidah binti Haji Ismail

By: Siti Rasyidah binti Haji Ismail [author.]Contributor(s): Universiti Teknologi BruneiMaterial type: Text

TextPublication details: Bandar Seri Begawan : Universiti Teknologi Brunei, 2025. Description: xiv, 155 pages : color illustration, maps ; 30 cmSubject(s): -- Thesis Universiti Teknologi Brunei | -- Final Year Report Universiti Teknologi Brunei | Dissertation, Academic | Thesis writing | Dissertation Universiti Teknologi Brunei | Solar power -- Climate change -- Real-time monitoringOther classification: UTB 120 REPORT, THESIS & DISSERTATION | RTDS 401 Dissertation note: Dissertations (Master of Science in Computer Network and Security) - Universiti Teknologi Brunei (2025)

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Item type	Current library	Call number	Copy number	Status	Notes	Date due	Barcode
Reports, Thesis & Dissertation Students	Universiti Teknologi Brunei Library - at level 2	UTB 120 REPORT, THESIS & DISSERTATION, RTDS 401 (Browse shelf(Opens below))	c. 1	Not for loan	Reg. No. 002445_UTB [RTDS 401]		850573

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Submitted for the partial fulfillment of the requirement for the degree of Master of Science in Computer Network and Security.

ABSTRACT Integrating mobile communication networks, with Internet of Things (loT) devices can provide a viable solution for early flood detection and mitigation strategies in flood-prone areas. This research examines how loT sensors have been deployed in flood-prone locations, areas near riversides, and roads that are susceptible to being affected by flood in Brunei Darussalam. By utilizing communication networks, loT devices can continuously monitor water levels in real-time enabling early detection of potential floods. This initiative incorporates a multidimensional approach, encompassing real-time monitoring of water quality, weather conditions, and water flow dynamics where experts assert that flooding have a significant impact on the water quality of water resources in rivers. The first monitoring region is along the riverbanks, where loT sensors provide alerts about flood events and changes in water quality allowing for mitigation efforts. The second monitoring covers road areas, where loT sensors detect and monitor the fluctuations in water level as a subsequent alert for prompt evacuation. Through an analysis of the deployment process, data collection methods, and operational effectiveness, this study showcases the effectiveness of flood monitoring systems powered by solar, ensuring energy efficiency and sustainability to improve community resilience and minimize the negative impacts of floods. These findings emphasize the significance of harnessing mobile communication networks to successfully implement solutions in flood areas providing valuable insights, for policymakers, urban planners and disaster management authorities striving to develop more resilient communities amidst climate change challenges.

Keywords - Climate Change; Water Quality; Flood; Internet of Things (loT); Solar Power; Real-Time Monitoring.

Dissertations (Master of Science in Computer Network and Security) - Universiti Teknologi Brunei (2025)

Includes references pages 93-115

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