A Comparative Study of LoRa and IEEE 802.15.4-based IoT Deployments inside School Buildings

Project Code :TEMBPG904

Objective

By providing information on environmental and equipment criteria, the Internet of Things offers major possibilities for ecological efficiency and enhancement of comfort for the occupants of smart buildings. by using sensors can the real time data efficiently.

Abstract

IoT deployments for smart cities and smart buildings have been multiplying exponentially in recent years, benefiting from a steady rise in the number of new technologies that deal with the underlying networking and application challenges in indoor and outdoor spaces. Due to the overlap in their specifications, we are still trying to figure out which of these technologies fits better to certain application domains, such as building monitoring. In this work, we provide a comparative study between IEEE 802.15.4 and LoRa, based on our experiences from using both wireless networking technologies in the context of indoor deployments aimed at IoT-enabled school buildings in Europe. We provide an apples-to-apples comparison between the two technologies, comparing them in some cases in the same building and application context. Although these two technologies initially might not seem to be competing in the same application space, in practice we found out that both have strengths and weaknesses in the specific application domain we have been using them. Moreover, our LoRa-based networking implementation, on top of Arduino-based hardware, appears to be an option that allows for a robust, reliable and lower overall cost IoT deployment, especially in cases with multi-floor building installations and low bandwidth requirements. We also present a network-level dataset produced from our installations and upon which we based our findings and discussion. We provide data collected from 6 different school buildings, 8 networks and 49 devices, to compare the performance and cost-effectiveness of competing IoT technologies. In that effect, with LoRa we can achieve similar or better link quality to IEEE 802.15.4, with higher data rate and lower costs.

Keywords: Raspberry pi, PIR sensor, vibration sensor, fire sensor, LORA TX and RX

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

Hardware Requirements:

  • Raspberry Pi
  • LORA TX
  • LORA RX
  • PIR sensor
  • Fire sensor
  • Vibration sensor
  • Micro SD card
  • Connecting wires

Software Requirements:

  • NOOBS Software
  • VNC Viewer
  • Python3 IDE
  • Fritzing
  • Third Party server 

Learning Outcomes

Learning outcomes:

  • Raspberry Pi Pin diagram and Architecture
  • How to install NOOBS Software
  • Setting up and Installation procedures for Raspberry Pi
  • How to connect Raspberry Pi through VNC viewer?
  • Introduction to Python3 IDE
  • Commands in Python
  • Basic coding in Python
  • Working of fire sensor
  • Working of PIR sensor
  • Working of vibration sensor
  • Working of LORA tx
  • Working of LORA rx
  • How to connect PIR sensor to Raspberry Pi?
  • How to connect fire sensor to Raspberry Pi?
  • How to connect vibration sensor to Raspberry Pi?
  • How to connect LORA tx, rx to Raspberry Pi?
  • Introduction to IOT
  • IOT Architecture
  • IOT – Applications and Scope
  • How to send data from Raspberry Pi to an IOT platform?
  • About Project Development Life Cycle:
    • Planning and Requirement Gathering(( software’s, Tools, Hardware components, etc.,)
    • Schematic preparation 
    • Code development and debugging
    • Hardware development and debugging
    • Development of the Project and  Output testing
  • Practical exposure to:
    • Hardware and software tools.
    • Solution providing for real time problems.
    • Working with team/ individual.
    • Work on Creative ideas.
  • Project development Skills
    • Problem analyzing skills
    • Problem solving skills
    • Creativity and imaginary skills
    • Programming skills
    • Deployment
    • Testing skills
    • Debugging skills
    • Project presentation skills
    • Thesis writing skills

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