Ramadhani Sinde
| Degrees: | Ph.D. Advance Computing, Pune India |
| Phone: | +255769551025 |
| Email: | sinder@nm-aist.ac.tz |
Carleton University Research Mentor
Mohamed Ibnkahla
https://carleton.ca/sce/people/ibnkahla/
Home Institution
Nelson Mandela African Institute of Science and Technology, School of Computational and Communication Science and Engineering, PhD Student
Biosketch
Sindeis a holder of Master’s Degree of Engineering and Technologies in Telecommunication. Specialized in Radio Engineering and Communication Systems and Equipment. He works as an assistant lecturer in communication sciences and engineering at NM-AIST. Currently, he is on study leave undertaking PhD studies in the field of Wireless Sensor Network.
Research Interests and societal interests
Collecting environmental data such as temperature and relative humidity from the forest using Wireless Sensor Network technology. The following are my interest:
- Climate change mitigation and adaptation
- Environmental management information system
- Wireless and Mobile Communication, Computer Network
- Object-Oriented Programming, database design, mobile application development
Expectations as a QES Scholar during the Mobility Period
I expect to strengthen my knowledge on environment and climate change. During this award we will attend a series of lectures, workshop, as well as presentations from both scholars and Professors, which will help me to enhance my knowledge. I expect after 10 weeks to submit my 2 papers for review as we have a step by step paper writing course which helps us to start writing and finally publish our findings. Also in this mobility period, I will work closely with my mentor at Carleton University. I expect to have hand on activities in the period of research placement.
The QES Project and Advancement of your Career
Through this mobility, I expect to network and form collaboration with colleagues from different backgrounds. This means a lot to me since I am academician and researcher. Therefore, we can write scientific papers and proposals for winning grants. Under the QES Project, I will be able to communicate my findings in the academic arena, which will help promote me as a researcher. In addition, this project will teach me leadership skill which can help to transform local and global society. Since the project gives me chance to work with industry, that will be a good opportunity for me to enhance my research skills.
Research: Modeling Wireless Sensor Network for temperature and relative humidity monitoring in Usambara forest mountain.
Academic background:
Master’s Degree of Engineering and Technologies in the field of Telecommunication specialized in Radio Engineering and Communication Systems and Equipment – Moscow Technical University of Communication and Informatics, Moscow Russia.
Bachelor Degree of Engineering and Technologies in the field of Telecommunication – Moscow Technical University of Communication and Informatics, Moscow Russia.
Postgraduate Diploma in Mobile Computing (PG – DMC) – C-DAC: Center for Development of Advanced Computing, Pune India
Level of study: PhD
Department: ITSDM Information Technology System Development and Management
School: Computational and Communication Science and Engineering
University: Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania
Research description
This research proposes a comprehensive model for the use of wireless sensor networks (WSN) for forest temperature and relative humidity monitoring, since these are the two important factors which help to identify the environmental condition and nature of the forest.Regardless the importance of Usambara forest mountain for the country, there is no information technology system, which focuses on the monitoring of environmental change of the forest to ensure that continuously data of temperature changes and relative humidity will be collected and processed to the central database. The following are the motivations for this research:
- Forest fire prediction, since most of the wild fire are caused by the rising of the forest temperature
- Prediction of migration of animals, birds and impact of soil animals on different forest types
- Prediction of rainfall, soil moisture and soil contribution to global CO2 cycle Impact of microclimate effect on soil animals
Existing monitoring systems lack in supporting real-time capture of every point of a field at all times and inform environmentalist the condition of the forest. Solutions using WSN, on the other hand, can gather sensory data values, such as temperature and humidity, from all points of the forest continuously, day and night, and, provide fresh and accurate data to researchers quickly. However, WSNs face serious obstacles such as lower power, limited memory, slow processor, low bandwidth, short transmission range and limited energy resources, which have to be considered carefully. Our model includes a packet forwarding mechanism in a collaborative WSN, algorithm that can find appropriate nodes to be awakened so that the paths that are long and heavy can be replaced by the shorter and lighter path and a central database for collecting and storing remotely collected data. We will implement a network simulator 3 to validate and evaluate our proposed model. Through extensive simulation experiments, we expect that our model can provide a quick collection of temperature and soil moisture while also consuming energy efficiently. Collected data is analysed and visualized using data science techniques for making the better decision.