priority routing algorithm for Industrial Iot
energy efficient
priority MAC protocol for IIot
XCP protocol
Body sensor Networks (BSN) and its Applications
- Began research on industrial Iot routing and clustering protocols
- Research on wireless sensor network energy efficient algorithms
- Learning MATLAB for simulations and python for raspberry pi projects.
CHALLENGES
- finding a suitable clustering algorithms for industrial iot
- learning MATLAB and python programming basics
- Research on Industrial IoT clustering algorithms
- Research on energy efficient routing algorithms for industrial IoT
- Research on protocols and energy harvesting techniques for Industrial IoT
- Install raspberry pi system on my computer system and set up the environment for experiments
- Learn python for raspbery pi projects
- Continue research on my paper work against INDIN and ICUFN conferences on the 15 of February 2019
- learn MATLAB
SMART FARM, XCP Protocol
SMART FARM.
-Worked with team mates to prepare end of semester report for our work.
CHALLENGES AND FEASIBLE SOLUTIONS
- Facing difficulties in choosing the right devices to implement energy harvesting for smart farm
- Integrating our ideas into the project
- Finding feasible and cost efficient means to realize project
- Limited time frame.
- Having issues with attaching wearables on cows
XCP
- Had a meeting with Dr. kim concerning our project work in which he devising means to progress
CHALLENGES
- difficulties in understanding source code
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- Setting up raspberry pi environment for experiments
SMART FARM.
- Present end of semester report
- Waiting for components to arrive and then test the feasibility of our design
- Integrate energy design with the rest of the smart farm system design
- Researching more new ideas for project and sharing with team members
XCP
- Analysis in depth the source code of XCP
- Present information and discuss with team
- Set project target for next week.
- Learn NS 3
- Learn how to run projects with raspberry pi 3
- Begin 2 international conference papers
- begin preparations for conference in Finland on February 15.
- Learn NS 3 and MATLAB excellently
- Learn how to run projects with raspberry pi 3
- publish 3 international conference papers