#wsn projects

Takeoff Projects team members are highly skilled and have a strong belief that the WSN projects in MATLAB will be a valuable learning tool that boosts the confidence of students to complete and accomplish their academic goals in wireless communications and IoT. We consider that not only should students learn about WSN and MATLAB in theory, but more importantly, they will need practical skills and experience for their future careers and the next generation of engineers, scientists, and researchers.

List of WSN Projects on MATLAB for Students & Researchers:

1.Design and Application of Intelligent Agriculture Service System with LoRa-based on Wireless Sensor Network:

This project proposes a low-power farm environment detection system based on LoRa wireless technology. In view of the current intelligent agriculture's collection and processing of production site data and the control requirements of related equipment, ZigBee, Wi-Fi, GPRS traditional wireless sensing technology has short trans-mission distance and signal interference in greenhouse environment monitoring systems such as large-scale farms. Shortcomings such as complex networking

2.Energy-Efficient Resource Allocation in Wireless Energy Harvesting Sensor Networks:

In this project, we mainly concentrate on harvesting the energy in WSN. The Energy Harvesting (EH) sensors have been proposed to overcome the mentioned problem in recent years. These sensors can harvest their required energy from environment in different methods, resulting in longer life time.

3.Energy-Neutral Wireless Sensor Network Based on SWIPT in Wireless Powered Communication Networks:

In this project, we introduce a novel ENO framework. For energy-neutral operation (ENO) of wireless sensor networks (WSNs), we consider a WSN deployed in a wireless powered communication network. In this network, sensor nodes with high harvesting energies and good link budgets have energy remaining after sending their data to the cluster head (CH), whereas the CH suffers from energy scarcity.

4.Data Centric Routing in WSN for Energy Conservation Using Directed Diffusion:

In this project, the work focuses on designing a data-centric approach, Directed Diffusion (DD) for reliable energy efficiency. One of the growing techniques is under the Wireless sensor networks (WSNs), which are associated with the smaller nodes used to sense, calculation and also have communication abilities and Energy efficiency is a challenging issue in WSN.

5.Distributed Learning Algorithms for Optimal Data Routing in IoT Networks:

In this project, we consider and work on the problem of joint lossy data compression and data routing in distributed Internet of Things (loT). Heterogeneous sources compress their data using a source-specific lossy compression scheme, where heterogeneity is meant in terms of signal type and/or transmission rates.

MATLAB is an industrial strength tool for the simulation and analysis of WSNs, which have various built-in functions and libraries for digital signal processing, communication systems, and machine learning.

In addition, we offer tutorials and resources to facilitate the students' learning process including the software and technologies adopted in the WSN projects employed in MATLAB. Are you a student interested in getting hands on experience in WSNs and MATLAB, then you should take us into consideration for your next project. It is we, therefore, invite you to reach out to us and for more information about our WSN Projects in MATLAB.