Design and Build of IoT Based Flood Prone Monitoring System at Semani’s Pump House Drainage System

Floods are a common disaster in watersheds, and flood control is difficult. However, losses can be reduced by quickly disseminating alert status information. This paper proposes a prototype of a monitoring system that can determine the status of flood alerts in real time and quickly disseminating to the community, allowing people to be better prepared for flood disasters. The system was developed using the RD method and consists of hardware and software development. The hardware comprises several sensor modules to read the discharge, temperature, humidity, and water level and to transmit the readings to the software. The software is divided into two applications: a website application and a Telegram application. The public can find the flood alert status history data from the website and obtain flood alert status warning messages and the latest alert status from Telegram. The results of the tests indicated that the sensors were very accurate, with a MAPE value of less than 10%. The software test also showed that the input and output were according to design. The proposed system can potentially reduce flood losses by providing early warning information to the community. The system is also scalable and adaptable to other watersheds

USING BLOCKCHAIN TO SUPPORT PROVENANCE IN THE INTERNET OF THINGS

The Internet of Things (IoT) has gained traction in all sectors and pervades all spheres of our lives. With statistics projecting an increase in the number of devices by 87% as well as increase in security concerns, traceability within this IoT will become a major problem. As more devices communicate with each other via the Internet, it will be crucial to determine the origins of requests and responses. Being able to store records related to the life cycle of requests and responses in an immutable form will provide documentary evidence that will help to establish transparency and accountability within the IoT. Previous works employed provenance techniques to address this problem but focuses on the request perspective. However, little or nothing has been done regarding the response perspective. Consequently, this thesis proposes and develops a blockchain-based provenance system to trace bi-directionally the sources of requests and responses in the IoT. This is achieved through the investigation of historical communication records. Furthermore, a performance evaluation of the system is provided. The results show that the developed system is scalable under real-world setting