WSN Projects on MATLAB for Engineering Students

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• WSN Projects on MATLAB for Engineering Students
• 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
• 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
• 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.
• 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.
• 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.

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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. Visit More information
https//takeoffprojects.com/wsn-projects-in-matlab
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