Long range network for river conservation management / Syarifah Nabilah Syed Taha@Tahir

Syarifah Nabilah , Syed Taha@Tahir (2024) Long range network for river conservation management / Syarifah Nabilah Syed Taha@Tahir. Masters thesis, Universiti Malaya.

	PDF (The Candidate's Agreement) Restricted to Repository staff only Download (126Kb)
	PDF (Thesis M.A.) Download (1980Kb)

Abstract

Scarcity of freshwater resources impacted from anthropogenic reformation pressuring demand of water resources management program. The program includes water quality monitoring to control the water resources from pollution by evaluating the status of water condition. Long Range (LoRa) in wireless network technology recognized in Internet of Things (IoT) for smart monitoring application. This research aimed to implement LoRa in water quality monitoring system with IoT architecture. Designed water quality station embedded LoRa nodes with selected water quality sensors including pH, Turbidity, Dissolved Oxygen (DO), Total Dissolved Solid (TDS) and temperature. The LoRa node was calibrated with transmission power at 14 dB and bandwidth at 125 kHz with three different spread factors of 7, 9 and 12 and. The water stations were placed at Sungai Pantai and Sungai Anak Air Batu, both rivers in Universiti Malaya campus. The accumulated data from LoRa gateway, RAK2245, were pre-processed and analyzed through mesh of K-means and Principal Component Analysis (PCA) method classifying the water quality of both rivers in Class IIB which is in a clean state for other purposes but not drinkable. The best findings for LoRa performance on the Received Strength Signal Indicator (RSSI), Signal Noise Ratio (SNR), packet loss, and path loss were approximately 80 dBm, 8 dB, < 1%, and 64.41 dB, respectively. The minimum value of received sensitivity obtained at -129.1 dBm allow the gateway to decipher the weak signal transmitted. This study proved the use of LoRa in continuous river water quality monitoring while also highlighting areas for future improvement in water station and LoRa network design for better deployment.

Actions (For repository staff only : Login required)