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Capacity Evaluation and Analysis of Long Range for IoT

  • 2021
  • OriginalPaper
  • Chapter
Published in:
Authors
Asmita Singh
Abhishek Tyagi
Sindhu Hak Gupta
Published in
Micro-Electronics and Telecommunication Engineering
Publisher
Springer Singapore

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Abstract

This chapter delves into the capacity evaluation and analysis of Long Range (LoRa) technology for IoT applications. It introduces the fundamental constraints of IoT, such as energy consumption and network capacity, and explores the advantages of LoRa over other technologies like WiFi and ZigBee. The author focuses on the theoretical maximum capacity of LoRaWAN networks, discussing the impact of spreading factors and code rates on channel capacity, signal-to-noise ratio (SNR), and bit error rate (BER). Detailed simulations using MATLAB are presented, highlighting the trade-offs between spreading factors, code rates, and network performance. The chapter concludes with practical recommendations for optimizing LoRaWAN networks, providing valuable insights for professionals aiming to enhance IoT network performance and scalability.
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previous chapter Comparative Study of CMOS and FinFET-Based SRAM Cell Using SVL Technique
next chapter VLSI Implementation of PN Sequence Generator Using Two Different Multiplication Algorithms
Title
Capacity Evaluation and Analysis of Long Range for IoT
Authors
Asmita Singh
Abhishek Tyagi
Sindhu Hak Gupta
Copyright Year
2021
Publisher
Springer Singapore
Book
Micro-Electronics and Telecommunication Engineering

Print ISBN: 978-981-334-686-4

Electronic ISBN: 978-981-334-687-1

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-33-4687-1_3
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